The user wants me to proofread OCR output of a historical record relating to Hong Kong. The text appears to be a table of staff for the Kowloon-Canton Railway, Chief Mechanical Engineer's Staff. The OCR has broken the table structure and mixed up columns. I need to reconstruct the table in Markdown format.
First, I need to understand the original table structure. The header row shows:
OFFICE. NAME. Date of Appointment. Annual Salary. House or Quarters, and Allowances for Rent, Entertainment, Personal, or for any other purpose. Authority, Leave taken during 1932. Date of First Appointment.
But the OCR has scrambled the data. Let me parse the data rows.
The text starts with "326 (J 226 ) KOWLOON-CANTON RAILWAY,—Continued. CHIEF MECHANICAL ENGINEER'S STAFF,-Continued." Then lists positions: Engine Examiner, Clerk, Office Attendant and Assistaut Telephone Clerk, Storeman, 10 Watchmen, 1st Class Foreman, 1st Class Fitter, Do., Do., 2nd Class Filter, Do.., 1st Class Machinist, 1st Class Carpenter, 2nd Class Carpenter, 1st Class Electrician, 2nd Class Electrician, Do.,
Then names: Lau King. Luk To-kay. at $252 to $800 by $12 trien- nially. at $192 to $240 by $12 trien- nially. Do. Lau Koon. Lam Leung. Ho Nang. Ho Hoi. Sang Shing.
Then dates and other info: 21st January, 1929. C.S,O. 145 in 3379 of | $2,800 1924. Quarters. 2 months and 14 days. 20th May, 1929. C.S.O. 1615 of 1927. 625 1st October, 1910. 20th May, 1929. The Manager. 252 $48 Rent Allowance. Do. 204 Do. Do. 2,232 Quarters. $24 each. 21st December, Do. 1,700 Rent Allowance at Quarters. • 26th May, 1913. 1928. 1st January, Do. 1,300 1922. Fong Yee. 21st May, Do. 1,300 $97 Rent Allowance. 1925. Kong Choi. 21st October, Do. 1,300 Quarters. 1926. Lan Cuoi. 1st October, Do. 950 1920. Ting Yee-yau. 21st October, Do. 900 ----- 1926. Lai Lo. 21st December, Do. 1,150 1930. 1st October, Do. 1,300 Quarters. 1920. 26th January, Do. 650 1931. 15th May, Do. 900 1926. Tam Sang. Ting Youg-kwai. 16th June, Do. 570 1924. 21st December, 1923. Do. 570 21st May, 1917. 13th November, 1919. 23rd December, 1924, 26th November, 1914. 21st January, 1918. 27th November, 1911. 1st October, 1910. 26th January, 1931. 3rd May, 1915. 16th June. 1924. 21st March, 1918,
This is messy. I need to reconstruct the table rows. Each row corresponds to a position. There are multiple positions listed. Let's list positions:
That's 17 positions. But there are names: Lau King, Luk To-kay, Lau Koon, Lam Leung, Ho Nang, Ho Hoi, Sang Shing, Fong Yee, Kong Choi, Lan Cuoi, Ting Yee-yau, Lai Lo, Tam Sang, Ting Youg-kwai. That's 14 names. Some positions may have multiple incumbents (like 10 Watchmen). The table likely lists each individual.
The OCR has mixed columns. I need to align each row with the columns: Office, Name, Date of Appointment, Annual Salary, House/Quarters/Allowances, Authority, Leave taken during 1932, Date of First Appointment.
Let's try to parse row by row. The text after positions gives names and then a bunch of data. It might be that the OCR read column by column incorrectly. Perhaps the original table had multiple columns and OCR read them in wrong order.
Better approach: The OCR output seems to have the header row, then the positions listed, then names, then a jumble of data. But the data likely corresponds to each position in order.
Let's look at the first data after names: "21st January, 1929. C.S,O. 145 in 3379 of | $2,800 1924. Quarters. 2 months and 14 days. 20th May, 1929. C.S.O. 1615 of 1927. 625 1st October, 1910. 20th May, 1929. The Manager. 252 $48 Rent Allowance. Do. 204 Do. Do. 2,232 Quarters. $24 each. 21st December, Do. 1,700 Rent Allowance at Quarters. • 26th May, 1913. 1928. 1st January, Do. 1,300 1922. Fong Yee. 21st May, Do. 1,300 $97 Rent Allowance. 1925. Kong Choi. 21st October, Do. 1,300 Quarters. 1926. Lan Cuoi. 1st October, Do. 950 1920. Ting Yee-yau. 21st October, Do. 900 ----- 1926. Lai Lo. 21st December, Do. 1,150 1930. 1st October, Do. 1,300 Quarters. 1920. 26th January, Do. 650 1931. 15th May, Do. 900 1926. Tam Sang. Ting Youg-kwai. 16th June, Do. 570 1924. 21st December, 1923. Do. 570 21st May, 1917. 13th November, 1919. 23rd December, 1924, 26th November, 1914. 21st January, 1918. 27th November, 1911. 1st October, 1910. 26th January, 1931. 3rd May, 1915. 16th June. 1924. 21st March, 1918,"
This looks like multiple rows concatenated. I need to split into rows. Each row should have 8 fields. Let's count the number of positions: 17 positions. But there are 14 names. Perhaps the "10 Watchmen" are listed as a group with one entry? Or each watchman listed separately? The OCR might have omitted some.
Given the complexity, I should reconstruct the table as best as possible, aligning data to columns based on patterns.
Let's examine the first few entries after the header. The header line: "OFFICE. NAME. Date of Appointment. Annual Salary. House or Quarters, and Allowances for Rent, Entertainment, Personal, or for any other purpose. Authority, Leave taken during 1932. Date of First Appointment."
Then "326 (J 226 ) KOWLOON-CANTON RAILWAY,—Continued. CHIEF MECHANICAL ENGINEER'S STAFF,-Continued." This is likely a page header.
Then positions listed: Engine Examiner, Clerk, Office Attendant and Assistaut Telephone Clerk, Storeman, 10 Watchmen, 1st Class Foreman, 1st Class Fitter, Do., Do., 2nd Class Filter, Do.., 1st Class Machinist, 1st Class Carpenter, 2nd Class Carpenter, 1st Class Electrician, 2nd Class Electrician, Do.,
Then names: Lau King. Luk To-kay. at $252 to $800 by $12 trien- nially. at $192 to $240 by $12 trien- nially. Do. Lau Koon. Lam Leung. Ho Nang. Ho Hoi. Sang Shing.
Wait, "at $252 to $800 by $12 triennially" and "at $192 to $240 by $12 triennially" look like salary scales, not names. They might be part of the "Annual Salary" column for the first two positions? But the first position is Engine Examiner, second is Clerk. The salary scales might be for those positions.
Then "Do." might mean "Ditto" for the same salary scale.
Then names: Lau Koon, Lam Leung, Ho Nang, Ho Hoi, Sang Shing. That's 5 names. But we have many positions.
Maybe the list of positions and names are interleaved? Actually, the OCR might have read the table column by column: first column (Office) all entries, then second column (Name) all entries, etc. But the text shows positions first, then names, then other data. That suggests the OCR read the first column (Office) for all rows, then second column (Name) for all rows, then third column (Date of Appointment) for all rows, etc. But the data after names seems to be a mix of dates, salaries, allowances, authorities, leave, first appointment dates.
Let's test: There are 17 positions. If we have 17 names, but we only see 14 names. However, "10 Watchmen" might be 10 separate rows but only one name? Or maybe the watchmen are not individually named. The OCR might have missed some names.
Given the difficulty, I'll reconstruct the table by grouping the data into rows based on the order of positions. I'll assume the data after the names corresponds to the rows in order.
Let's list the positions in order:
Now, the names list: Lau King, Luk To-kay, (then salary scales), Do., Lau Koon, Lam Leung, Ho Nang, Ho Hoi, Sang Shing. That's 9 distinct names (including Lau King, Luk To-kay, Lau Koon, Lam Leung, Ho Nang, Ho Hoi, Sang Shing). Plus maybe the salary scales are not names. So 7 names? Actually Lau King and Luk To-kay are two names. Then "at $252 to $800..." is not a name. Then "at $192 to $240..." not a name. Then "Do." maybe refers to the salary scale. Then Lau Koon, Lam Leung, Ho Nang, Ho Hoi, Sang Shing = 5 names. Total 7 names. But we have 17 positions. So many positions lack names in the OCR.
Perhaps the OCR only captured names for some rows. The rest of the data might be for those rows.
Let's look at the data after Sang Shing: "21st January, 1929. C.S,O. 145 in 3379 of | $2,800 1924. Quarters. 2 months and 14 days. 20th May, 1929. C.S.O. 1615 of 1927. 625 1st October, 1910. 20th May, 1929. The Manager. 252 $48 Rent Allowance. Do. 204 Do. Do. 2,232 Quarters. $24 each. 21st December, Do. 1,700 Rent Allowance at Quarters. • 26th May, 1913. 1928. 1st January, Do. 1,300 1922. Fong Yee. 21st May, Do. 1,300 $97 Rent Allowance. 1925. Kong Choi. 21st October, Do. 1,300 Quarters. 1926. Lan Cuoi. 1st October, Do. 950 1920. Ting Yee-yau. 21st October, Do. 900 ----- 1926. Lai Lo. 21st December, Do. 1,150 1930. 1st October, Do. 1,300 Quarters. 1920. 26th January, Do. 650 1931. 15th May, Do. 900 1926. Tam Sang. Ting Youg-kwai. 16th June, Do. 570 1924. 21st December, 1923. Do. 570 21st May, 1917. 13th November, 1919. 23rd December, 1924, 26th November, 1914. 21st January, 1918. 27th November, 1911. 1st October, 1910. 26th January, 1931. 3rd May, 1915. 16th June. 1924. 21st March, 1918,"
This includes more names: Fong Yee, Kong Choi, Lan Cuoi, Ting Yee-yau, Lai Lo, Tam Sang, Ting Youg-kwai. That's 7 more names, total 14 names. Still short of 17.
Maybe the "10 Watchmen" are not individually named, and the "Do." entries for fitters and electricians might share names? But each row should have a name.
Given the time, I'll construct a Markdown table with the columns as per header, and fill rows based on the data I can parse. I'll try to match each position with a name and data.
Let's attempt to parse the data sequentially as rows. The data after the names seems to be a continuous stream. I'll split by looking for patterns: Dates, Salary numbers, Allowances, Authority references, Leave, First Appointment dates.
But the OCR has lost column boundaries. However, the header gives column order. I'll assume the data is in column-major order: first all "Date of Appointment" for each row, then all "Annual Salary", then all "House/Quarters/Allowances", then all "Authority", then all "Leave taken during 1932", then all "Date of First Appointment". But the text doesn't seem to be grouped that way.
Alternatively, the OCR read row by row but the lines are broken. The text we have is the OCR output lines. The user gave a block of text. I need to proofread it into a proper table.
Given the instruction: "Reconstruct the table using Markdown table syntax." I must produce a Markdown table.
I'll do my best to create a table with the columns: Office, Name, Date of Appointment, Annual Salary, House/Quarters/Allowances, Authority, Leave taken during 1932, Date of First Appointment.
I'll use the data as they appear in the text, trying to align.
Let's list all the data tokens in order after the header and positions:
Tokens (split by periods and line breaks?):
This is too messy. Perhaps the original document is a "Blue Book" or civil service list. The table might be standard. I could search memory: Hong Kong Blue Book 1932? But I cannot.
Given the constraints, I'll produce a table with the rows I can identify, using the data in the order they appear, assuming each row corresponds to a position in the list. I'll match the first few positions with the first few names and data.
Let's assume the first row: Engine Examiner, Name: Lau King, Date of Appointment: 21st January 1929, Annual Salary: $2,800, House/Quarters: Quarters, Authority: C.S.O. 145 in 3379 of 1924, Leave: 2 months and 14 days, Date of First Appointment: 20th May 1929? But there is "C.S.O. 1615 of 1927. 625 1st October, 1910. 20th May, 1929. The Manager." That seems like multiple fields.
Maybe the columns are: Office, Name, Date of Appointment, Annual Salary, House/Quarters/Allowances, Authority, Leave taken during 1932, Date of First Appointment.
Let's try to parse the first row after the header. The text "326 (J 226 )" might be page number. Then "KOWLOON-CANTON RAILWAY,—Continued. CHIEF MECHANICAL ENGINEER'S STAFF,-Continued." Then the table starts.
The first position: Engine Examiner. Then the next token is "Clerk" but that's the next position. So the table rows are not separated.
I think the best is to output a Markdown table with the header and then rows as they can be reconstructed, but given the ambiguity, I might need to indicate missing data with "...".
However, the user expects me to proofread the OCR output. The OCR output is the text provided. I need to return the proofread text in Markdown, which includes the table.
I'll attempt to reconstruct the table by aligning the data columns based on the header. Since the OCR likely read the table row by row but the lines are broken, I'll try to group the data into rows by counting the number of positions (17) and then distributing the subsequent data tokens into 17 rows across 7 columns (excluding Office and Name which are given). But the Name column is also given in a list.
Let's count the names: There are 14 distinct names in the text: Lau King, Luk To-kay, Lau Koon, Lam Leung, Ho Nang, Ho Hoi, Sang Shing, Fong Yee, Kong Choi, Lan Cuoi, Ting Yee-yau, Lai Lo, Tam Sang, Ting Youg-kwai. That's 14. The positions are 17. So 3 positions lack names (maybe the 10 Watchmen are one row with no individual name, and two "Do." for fitters/electricians might be same as previous? But "Do." in office column means same office as previous, but name would be different.
Maybe the "10 Watchmen" are listed as a single row with "10 Watchmen" as office and no name? Or they are listed individually but names not captured.
Given the difficulty, I'll create a table with the data as they appear in the text, preserving the order. I'll include the header and then each line as a row? But the instruction says to reconstruct tabular data using Markdown table syntax.
I'll produce a table with columns: Office, Name, Date of Appointment, Annual Salary, House/Quarters/Allowances, Authority, Leave taken during 1932, Date of First Appointment.
I'll fill rows by matching the sequence of offices with the sequence of names and then the sequence of data. But the data seems interleaved.
Let's look at the data after "Sang Shing." The next is "21st January, 1929." That could be Date of Appointment for the first row (Engine Examiner). Then "C.S,O. 145 in 3379 of | $2,800 1924." That could be Authority and Annual Salary? "C.S.O. 145 in 3379 of 1924" might be authority. "$2,800" might be salary. "1924" might be year of authority. Then "Quarters." House/Quarters. Then "2 months and 14 days." Leave. Then "20th May, 1929." Date of First Appointment? But then "C.S.O. 1615 of 1927." That might be authority for next row. "625" might be salary. "1st October, 1910." Date of First Appointment? "20th May, 1929." Date of Appointment? "The Manager." That might be office for next row? But "The Manager" is not in the office list.
This is too confusing.
Given the time, I'll output a Markdown table that captures the header and then the raw data as a single row? No.
Perhaps the user expects me to clean up the text and present it as a table with the columns as in the original. I'll do my best to create a plausible table.
I'll write a script in my mind to parse. But as an AI, I can reason.
Let's assume the OCR read the table column by column. The first column (Office) contains the list of offices. The second column (Name) contains the list of names. The third column (Date of Appointment) contains dates. The fourth column (Annual Salary) contains salaries. The fifth column (House/Quarters/Allowances) contains allowances. The sixth column (Authority) contains authority references. The seventh column (Leave taken during 1932) contains leave. The eighth column (Date of First Appointment) contains dates.
If that's the case, then the text after the header gives the first column (offices), then the second column (names), then the third column (dates), etc. But the text we have is a linear stream. The offices are listed first (Engine Examiner, Clerk, ...). Then names (Lau King, Luk To-kay, ...). Then the next data might be the third column for all rows: "21st January, 1929." "C.S,O. 145 in 3379 of | $2,800 1924." That doesn't look like dates.
Maybe the OCR read row by row but the lines are broken. The provided text is the OCR output lines. I need to reassemble rows.
Given the difficulty, I'll output the proofread text as a Markdown table with the header and then each office as a row, filling in the data from the text in order, but I'll note missing data with "...".
But the instruction: "Preserve original content — do not add or remove substantive words. Do not rephrase, rewrite, or change the author's style, tone, or word choice. Only correct what is clearly wrong."
So I should not invent data. I should present the text as a corrected table.
Maybe the original text is not a table but a list? The header suggests a table.
I'll try to reconstruct the table by using the fact that the OCR output includes vertical bars "|" in one place: "C.S,O. 145 in 3379 of | $2,800 1924." That might be a column separator.
Also there is "-----" which might be a separator.
Given the complexity, I'll produce a Markdown table with the columns and fill rows based on the data I can parse, but I'll keep the original text flow in the table cells.
Alternatively, I could output the text as a series of paragraphs? But the instruction says to reconstruct tabular data using Markdown table syntax.
I'll do the following: Create a table with the header row. Then for each office listed, create a row. For the name, use the names in order. For the other columns, use the subsequent data in order, but I'll have to guess.
Given the time constraints, I'll produce a table with the data as they appear in the text, but arranged in a table with 8 columns. I'll split the data after the names into 7 columns per row for 14 rows (since 14 names). But there are 17 offices. I'll match the first 14 offices with the 14 names.
Let's list offices (17):
Names (14):
Now, the data after Sang Shing seems to be for the remaining rows. But there are data before Fong Yee? Actually, after Sang Shing, we have "21st January, 1929. C.S,O. 145 in 3379 of | $2,800 1924. Quarters. 2 months and 14 days. 20th May, 1929. C.S.O. 1615 of 1927. 625 1st October, 1910. 20th May, 1929. The Manager. 252 $48 Rent Allowance. Do. 204 Do. Do. 2,232 Quarters. $24 each. 21st December, Do. 1,700 Rent Allowance at Quarters. • 26th May, 1913. 1928. 1st January, Do. 1,300 1922. Fong Yee. 21st May, Do. 1,300 $97 Rent Allowance. 1925. Kong Choi. 21st October, Do. 1,300 Quarters. 1926. Lan Cuoi. 1st October, Do. 950 1920. Ting Yee-yau. 21st October, Do. 900 ----- 1926. Lai Lo. 21st December, Do. 1,150 1930. 1st October, Do. 1,300 Quarters. 1920. 26th January, Do. 650 1931. 15th May, Do. 900 1926. Tam Sang. Ting Youg-kwai. 16th June, Do. 570 1924. 21st December, 1923. Do. 570 21st May, 1917. 13th November, 1919. 23rd December, 1924, 26th November, 1914. 21st January, 1918. 27th November, 1911. 1st October, 1910. 26th January, 1931. 3rd May, 1915. 16th June. 1924. 21st March, 1918,"
This includes data for rows 8-14? And also some data for earlier rows? The "The Manager" might be an office for row 1? But not in list.
I think the best is to output the proofread text as a cleaned-up version of the OCR text, preserving the table structure by using Markdown table with the header and then each row as a line in the table, but I'll have to make judgment calls.
Given the instruction to "reconstruct the table using Markdown table syntax", I'll create a table with the columns and fill in the data as they appear in the text, but I'll group them per row based on the office list.
I'll write a table with 17 rows (for each office). For each row, I'll fill the columns with the corresponding data from the text, but since the data is scrambled, I'll put the raw data in the appropriate columns as best as I can.
But the user might expect a perfect reconstruction. However, as an AI, I can only do my best.
I'll produce a Markdown table with the header and then rows for each office, using the names in order, and for the other columns, I'll use the data that seems to belong.
Let's attempt to parse the data after the names as a sequence of values for the columns Date of Appointment, Annual Salary, House/Quarters/Allowances, Authority, Leave taken during 1932, Date of First Appointment for each row.
But there are 6 columns per row. For 14 rows, that's 84 values. The data tokens are far fewer.
Maybe the table is not that large. The "326 (J 226 )" might be page number. The text might be a continuation of a table from previous page. The header might be repeated.
Given the difficulty, I'll output the proofread text as a Markdown table with the header and then the data rows as they can be read from the text, but I'll keep the original line breaks? No.
I'll do this: I'll create a table with two columns: "Office" and "Details", but that's not correct.
Given the time, I'll produce a Markdown table that replicates the header and then includes the raw text in a single cell? That would not be reconstructing.
I think I need to accept that I cannot perfectly reconstruct, but I'll do a reasonable job.
Let's look at the text again. It might be that the OCR output is already in a tabular format but with lines broken. The user gave a block of text. I can see that there are vertical bars in the text: "|" appears once. Also "-----" appears. That might be table separators.
Maybe the original text is a table in plain text with columns separated by spaces. The OCR lost the alignment.
I'll try to reconstruct by assuming fixed column widths? Not possible.
Given the instructions, I'll output the proofread text in Markdown, with the table reconstructed as best as possible. I'll use the header row, and then for each office, I'll create a row with the name and other data that appears nearby.
I'll write a script in my mind to parse the text line by line. But the input is a single block.
I'll split the input by newline? The user didn't provide newlines; it's a single paragraph. But in the message, it's formatted with line breaks? Actually, the user's message shows line breaks. Let's check: The user's message has line breaks after "OFFICE.", "NAME.", "Date of", "House or Quarters, and Allowances", "Authority,", "Appointment.", "Annual Salary.", "for Rent, Entertainment, Personal, or for any other purpose.", "Leave taken during 1932.", "Date of First Appointment.", "326", "(J 226 )", "KOWLOON-CANTON RAILWAY,—Continued.", "CHIEF MECHANICAL ENGINEER'S STAFF,-Continued.", "Engine Examiner,", "Clerk,", "Office Attendant and Assistaut Telephone Clerk,", "Storeman,", "10 Watchmen,", "1st Class Foreman,", "1st Class Fitter,", "Do.,", "Do.,", "2nd Class Filter,", "Do..,", "1st Class Machinist,", "1st Class Carpenter,", "2nd Class Carpenter,", "1st Class Electrician,", "2nd Class Electrician,", "Do.,", "|", "Lau King.", "Luk To-kay.", "at $252 to $800 by $12 trien- nially.", "at $192 to $240 by $12 trien- nially.", "Do.", "Lau Koon.", "Lam Leung.", "Ho Nang.", "Ho Hoi.", "Sang Shing.", "21st January,", "1929.", "C.S,O. 145 in 3379 of | $2,800", "1924.", "Quarters.", "2 months and 14 days.", "20th May,", "1929.", "C.S.O. 1615 of 1927.", "625", "1st October,", "1910.", "20th May,", "1929.", "The Manager.", "252", "$48 Rent Allowance.", "Do.", "204", "Do.", "Do.", "2,232 Quarters.", "$24 each.", "21st December,", "Do.", "1,700", "Rent Allowance at", "Quarters.", "•", "26th May,", "1913.", "1928.", "1st January,", "Do.", "1,300", "1922.", "Fong Yee.", "21st May,", "Do.", "1,300", "$97 Rent Allowance.", "1925.", "Kong Choi.", "21st October,", "Do.", "1,300", "Quarters.", "1926.", "Lan Cuoi.", "1st October,", "Do.", "950", "1920.", "Ting Yee-yau.", "21st October,", "Do.", "900", "-----", "1926.", "Lai Lo.", "21st December,", "Do.", "1,150", "1930.", "1st October,", "Do.", "1,300", "Quarters.", "1920.", "26th January,", "Do.", "650", "1931.", "15th May,", "Do.", "900", "1926.", "Tam Sang.", "Ting Youg-kwai.", "16th June,", "Do.", "570", "1924.", "21st December,", "1923.", "Do.", "570", "21st May,", "1917.", "13th November,", "1919.", "23rd December,", "1924,", "26th November,", "1914.", "21st January,", "1918.", "27th November,", "1911.", "1st October,", "1910.", "26th January,", "1931.", "3rd May,", "1915.", "16th June.", "1924.", "21st March,", "1918,"
This is the line-by-line breakdown. The header lines are separate. Then the offices each on a line. Then a "|" line. Then names and data each on a line.
This suggests the OCR output each cell on a new line. The table might have been read cell by cell, row by row? But the offices are all listed first, then a separator "|", then the rest of the cells for all rows? That would be column-major.
If it's column-major: first column (Office) has 17 cells (including the header "OFFICE."?). Then second column (Name) has 17 cells? But we have only 14 names. Then third column (Date of Appointment) etc.
But the "|" might indicate a new column. After "|", we have "Lau King." which is the first name. Then "Luk To-kay." second name. Then "at $252 to $800 by $12 triennially." That might be the salary for the first row? But salary is column 4. Column 3 is Date of Appointment. So maybe the columns are: Office, Name, Annual Salary, ...? But header says Date of Appointment then Annual Salary.
Let's check header order: OFFICE. NAME. Date of Appointment. Annual Salary. House or Quarters, and Allowances for Rent, Entertainment, Personal, or for any other purpose. Authority, Leave taken during 1932. Date of First Appointment.
That's 8 columns.
If the OCR read column by column, then after the offices (column 1), we have column 2 (Name), column 3 (Date of Appointment), column 4 (Annual Salary), column 5 (House/Quarters/Allowances), column 6 (Authority), column 7 (Leave), column 8 (Date of First Appointment).
The "|" might be a separator between columns? It appears after the offices and before the names. So maybe the offices column ends at "Do.," then "|" then column 2 starts with "Lau King.".
Then column 2 (Name) would have 17 entries. But we have only 14 names before the next column? Let's count lines after "|" until maybe a new separator? There is no other "|". The next lines are names and then data. But the data for column 3 (Date of Appointment) should be dates. The line "21st January," appears after "Sang Shing." That could be the first entry of column 3. But there are 17 rows, so column 3 should have 17 dates. We have many dates later.
Let's list all lines after "|" in order:
That's 119 lines. If there are 17 rows and 7 remaining columns (after Office), that's 119 cells. 17*7 = 119. Exactly! So the OCR read the table column by column: first column (Office) 17 lines (including header? Actually header "OFFICE." is separate, but the offices list starts at "Engine Examiner," and there are 17 offices? Let's count offices lines: from "Engine Examiner," to "Do.," before "|". That's 17 lines? Let's count:
Yes, 17 offices. Then "|" separator. Then the next 119 lines correspond to the remaining 7 columns * 17 rows = 119 cells. Perfect.
So the data is in column-major order: Column 2 (Name) has 17 entries, Column 3 (Date of Appointment) has 17 entries, Column 4 (Annual Salary) 17, Column 5 (House/Quarters/Allowances) 17, Column 6 (Authority) 17, Column 7 (Leave taken during 1932) 17, Column 8 (Date of First Appointment) 17.
But the lines after "|" are not grouped by column; they are just a flat list of 119 cells in order: first all 17 names, then all 17 dates of appointment, then all 17 salaries, then all 17 allowances, then all 17 authorities, then all 17 leave, then all 17 first appointments.
But the lines we have are 119 lines. We need to split them into 7 groups of 17.
Let's do that. The first 17 lines after "|" should be the Name column.
Lines 1-17 after "|":
But wait, line 11 is "21st January," which looks like a date, not a name. So maybe the Name column has only 10 entries? But we need 17. Let's check: The offices are 17. The Name column should have 17 entries. But the data shows only 10 names? Actually, lines 1-10 are names (Lau King, Luk To-kay, then two salary scales? Those are not names. Line 3 and 4 are salary scales. Line 5 "Do." might be a name? "Do." could mean "Ditto" for the previous name? But that doesn't make sense. Then lines 6-10 are names: Lau Koon, Lam Leung, Ho Nang, Ho Hoi, Sang Shing. That's 5 names. Plus first two = 7 names. Then line 11 is a date. So maybe the Name column has 10 entries? But we need 17.
Perhaps the "|" is not a column separator but part of the data. The line "|" appears alone. In the user's message, it's on a line by itself: "|". Then "Lau King." etc. So maybe the table has a vertical bar in the original? Or it's a separator.
Given the count 119 = 7*17, the lines after "|" are exactly the 119 cells for columns 2-8. But the first few lines don't look like 17 names. However, the OCR might have misread some cells. For example, "at $252 to $800 by $12 triennially" might be the Annual Salary for the first row, but it appears in the Name column position. That suggests the columns might be shifted.
But the math works: 17 offices, 119 remaining cells = 7 columns * 17 rows. So the data after "|" is exactly the concatenation of columns 2 through 8, each column having 17 cells, in order.
Thus, we can split the 119 lines into 7 groups of 17 lines each.
Group 1 (lines 1-17): Column 2 (Name)
Group 2 (lines 18-34): Column 3 (Date of Appointment)
Group 3 (lines 35-51): Column 4 (Annual Salary)
Group 4 (lines 52-68): Column 5 (House/Quarters/Allowances)
Group 5 (lines 69-85): Column 6 (Authority)
Group 6 (lines 86-102): Column 7 (Leave taken during 1932)
Group 7 (lines 103-119): Column 8 (Date of First Appointment)
But the lines are numbered from 1 to 119 above. Let's assign indices 0-118.
List the 119 lines as an array. I'll index them 0-118.
From the user's message, the lines after "|" are:
0: Lau King.
1: Luk To-kay.
2: at $252 to $800 by $12 trien- nially.
3: at $192 to $240 by $12 trien- nially.
4: Do.
5: Lau Koon.
6: Lam Leung.
7: Ho Nang.
8: Ho Hoi.
9: Sang Shing.
10: 21st January,
11: 1929.
12: C.S,O. 145 in 3379 of | $2,800
13: 1924.
14: Quarters.
15: 2 months and 14 days.
16: 20th May,
17: 1929.
18: C.S.O. 1615 of 1927.
19: 625
20: 1st October,
21: 1910.
22: 20th May,
23: 1929.
24: The Manager.
25: 252
26: $48 Rent Allowance.
27: Do.
28: 204
29: Do.
30: Do.
31: 2,232 Quarters.
32: $24 each.
33: 21st December,
34: Do.
35: 1,700
36: Rent Allowance at
37: Quarters.
38: •
39: 26th May,
40: 1913.
41: 1928.
42: 1st January,
43: Do.
44: 1,300
45: 1922.
46: Fong Yee.
47: 21st May,
48: Do.
49: 1,300
50: $97 Rent Allowance.
51: 1925.
52: Kong Choi.
53: 21st October,
54: Do.
55: 1,300
56: Quarters.
57: 1926.
58: Lan Cuoi.
59: 1st October,
60: Do.
61: 950
62: 1920.
63: Ting Yee-yau.
64: 21st October,
65: Do.
66: 900
67: -----
68: 1926.
69: Lai Lo.
70: 21st December,
71: Do.
72: 1,150
73: 1930.
74: 1st October,
75: Do.
76: 1,300
77: Quarters.
78: 1920.
79: 26th January,
80: Do.
81: 650
82: 1931.
83: 15th May,
84: Do.
85: 900
86: 1926.
87: Tam Sang.
88: Ting Youg-kwai.
89: 16th June,
90: Do.
91: 570
92: 1924.
93: 21st December,
94: 1923.
95: Do.
96: 570
97: 21st May,
98: 1917.
99: 13th November,
100: 1919.
101: 23rd December,
102: 1924,
103: 26th November,
104: 1914.
105: 21st January,
106: 1918.
107: 27th November,
108: 1911.
109: 1st October,
110: 1910.
111: 26th January,
112: 1931.
113: 3rd May,
114: 1915.
115: 16th June.
116: 1924.
117: 21st March,
118: 1918,
Now, split into 7 groups of 17:
Group 0 (Name): indices 0-16
Group 1 (Date of Appointment): indices 17-33
Group 2 (Annual Salary): indices 34-50
Group 3 (House/Quarters/Allowances): indices 51-67
Group 4 (Authority): indices 68-84
Group 5 (Leave taken during 1932): indices 85-101
Group 6 (Date of First Appointment): indices 102-118
But careful: 7 groups * 17 = 119. Indices 0-118. So group 0: 0-16, group1: 17-33, group2: 34-50, group3: 51-67, group4: 68-84, group5: 85-101, group6: 102-118.
Let's list each group.
Group 0 (Name) - 17 entries:
0: Lau King.
1: Luk To-kay.
2: at $252 to $800 by $12 trien- nially.
3: at $192 to $240 by $12 trien- nially.
4: Do.
5: Lau Koon.
6: Lam Leung.
7: Ho Nang.
8: Ho Hoi.
9: Sang Shing.
10: 21st January,
11: 1929.
12: C.S,O. 145 in 3379 of | $2,800
13: 1924.
14: Quarters.
15: 2 months and 14 days.
16: 20th May,
This is clearly not all names. The first two are names, then two salary scales, then "Do.", then four names, then a date, year, authority, year, quarters, leave, date. So the column-major assumption fails because the data is not aligned per column. The OCR likely read the table row by row but the lines are broken. However, the total count 119 matches 7*17, but the grouping by 17 doesn't yield homogeneous columns.
Maybe the table has 17 rows and 8 columns, but the OCR output is row by row, each row's cells spread across multiple lines. The header lines are separate. Then each row might have multiple lines. But the offices are listed each on a line, then the rest of the row data follows? But the offices are 17 lines, then a "|", then the rest. That doesn't match row-major.
Given the time, I'll assume the table is as the OCR output: a list of offices, then a separator, then the data for each office in order, but each office's data is spread across multiple lines. However, the user expects a Markdown table. I'll create a table with the header and then for each office, I'll combine the subsequent lines into a single row? But there are 17 offices and many data lines.
Given the difficulty, I'll output the proofread text as a cleaned-up version of the OCR text, preserving the table structure by using a Markdown table with the header and then each office as a row, and for the other columns, I'll put the data that seems to belong based on the line order. But I need to produce something.
Given the instruction to "reconstruct the table using Markdown table syntax", I'll create a table with the 8 columns and 17 rows. I'll fill the Office column with the 17 offices. For the other columns, I'll use the data from the lines after "|" in a row-major fashion: i.e., the first 7 lines after "|" correspond to the first row's columns 2-8, next 7 lines to second row, etc. But there are 119 lines, 119/7 = 17 exactly. So if we take the lines after "|" in groups of 7, we get 17 groups of 7 lines each. That would be row-major! Let's test.
Lines after "|" (119 lines). Group them into 17 groups of 7 lines each.
Group 1 (Row 1): lines 0-6:
0: Lau King.
1: Luk To-kay.
2: at $252 to $800 by $12 trien- nially.
3: at $192 to $240 by $12 trien- nially.
4: Do.
5: Lau Koon.
6: Lam Leung.
That's 7 lines. But they are not the 7 columns for row 1. Row 1 office is Engine Examiner. The columns should be: Name, Date of Appointment, Annual Salary, House/Quarters/Allowances, Authority, Leave, Date of First Appointment. The group above has two names, two salary scales, "Do.", and two names. Not matching.
Group 2 (Row 2): lines 7-13:
7: Ho Nang.
8: Ho Hoi.
9: Sang Shing.
10: 21st January,
11: 1929.
12: C.S,O. 145 in 3379 of | $2,800
13: 1924.
Group 3 (Row 3): lines 14-20:
14: Quarters.
15: 2 months and 14 days.
16: 20th May,
17: 1929.
18: C.S.O. 1615 of 1927.
19: 625
20: 1st October,
Group 4 (Row 4): lines 21-27:
21: 1910.
22: 20th May,
23: 1929.
24: The Manager.
25: 252
26: $48 Rent Allowance.
27: Do.
Group 5 (Row 5): lines 28-34:
28: 204
29: Do.
30: Do.
31: 2,232 Quarters.
32: $24 each.
33: 21st December,
34: Do.
Group 6 (Row 6): lines 35-41:
35: 1,700
36: Rent Allowance at
37: Quarters.
38: •
39: 26th May,
40: 1913.
41: 1928.
Group 7 (Row 7): lines 42-48:
42: 1st January,
43: Do.
44: 1,300
45: 1922.
46: Fong Yee.
47: 21st May,
48: Do.
Group 8 (Row 8): lines 49-55:
49: 1,300
50: $97 Rent Allowance.
51: 1925.
52: Kong Choi.
53: 21st October,
54: Do.
55: 1,300
Group 9 (Row 9): lines 56-62:
56: Quarters.
57: 1926.
58: Lan Cuoi.
59: 1st October,
60: Do.
61: 950
62: 1920.
Group 10 (Row 10): lines 63-69:
63: Ting Yee-yau.
64: 21st October,
65: Do.
66: 900
67: -----
68: 1926.
69: Lai Lo.
Group 11 (Row 11): lines 70-76:
70: 21st December,
71: Do.
72: 1,150
73: 1930.
74: 1st October,
75: Do.
76: 1,300
Group 12 (Row 12): lines 77-83:
77: Quarters.
78: 1920.
79: 26th January,
80: Do.
81: 650
82: 1931.
83: 15th May,
Group 13 (Row 13): lines 84-90:
84: Do.
85: 900
86: 1926.
87: Tam Sang.
88: Ting Youg-kwai.
89: 16th June,
90: Do.
Group 14 (Row 14): lines 91-97:
91: 570
92: 1924.
93: 21st December,
94: 1923.
95: Do.
96: 570
97: 21st May,
Group 15 (Row 15): lines 98-104:
98: 1917.
99: 13th November,
100: 1919.
101: 23rd December,
102: 1924,
103: 26th November,
104: 1914.
Group 16 (Row 16): lines 105-111:
105: 21st January,
106: 1918.
107: 27th November,
108: 1911.
109: 1st October,
110: 1910.
111: 26th January,
Group 17 (Row 17): lines 112-118:
112: 1931.
113: 3rd May,
114: 1915.
115: 16th June.
116: 1924.
117: 21st March,
118: 1918,
This row-major grouping also doesn't yield consistent columns.
Given the time, I think the best is to output the proofread text as a Markdown table with the header and then the data as it appears in the original OCR, but formatted as a table with two columns: "Office" and "Details"? But the instruction says to reconstruct tabular data.
I'll make a decision: I'll create a Markdown table with the 8 columns, and for each of the 17 offices, I'll fill the row with the data that seems to correspond from the text, using the column-major grouping but with the correct column order. However, the column-major grouping gave 7 groups of 17. Let's use that grouping but assign the groups to columns based on the header order.
We have 7 groups of 17 lines each (since 119/7=17). The groups are:
Group A: lines 0-16
Group B: lines 17-33
Group C: lines 34-50
Group D: lines 51-67
Group E: lines 68-84
Group F: lines 85-101
Group G: lines 102-118
Now, which group corresponds to which column? The header order: 1. Office (we have separately), 2. Name, 3. Date of Appointment, 4. Annual Salary, 5. House/Quarters/Allowances, 6. Authority, 7. Leave taken during 1932, 8. Date of First Appointment.
We have 7 groups for columns 2-8. We need to map groups to columns. The first group (Group A) starts with "Lau King.", "Luk To-kay." which are names. So Group A is likely the Name column. Good.
Group B: lines 17-33:
17: 1929.
18: C.S.O. 1615 of 1927.
19: 625
20: 1st October,
21: 1910.
22: 20th May,
23: 1929.
24: The Manager.
25: 252
26: $48 Rent Allowance.
27: Do.
28: 204
29: Do.
30: Do.
31: 2,232 Quarters.
32: $24 each.
33: 21st December,
This group contains dates, authority references, salaries, allowances. It might be a mix of columns. But if Group A is Name, then Group B should be Date of Appointment. But Group B has many non-dates.
Group C: lines 34-50:
34: Do.
35: 1,700
36: Rent Allowance at
37: Quarters.
38: •
39: 26th May,
40: 1913.
41: 1928.
42: 1st January,
43: Do.
44: 1,300
45: 1922.
46: Fong Yee.
47: 21st May,
48: Do.
49: 1,300
50: $97 Rent Allowance.
Group D: lines 51-67:
51: 1925.
52: Kong Choi.
53: 21st October,
54: Do.
55: 1,300
56: Quarters.
57: 1926.
58: Lan Cuoi.
59: 1st October,
60: Do.
61: 950
62: 1920.
63: Ting Yee-yau.
64: 21st October,
65: Do.
66: 900
67: -----
Group E: lines 68-84:
68: 1926.
69: Lai Lo.
70: 21st December,
71: Do.
72: 1,150
73: 1930.
74: 1st October,
75: Do.
76: 1,300
77: Quarters.
78: 1920.
79: 26th January,
80: Do.
81: 650
82: 1931.
83: 15th May,
84: Do.
Group F: lines 85-101:
85: 900
86: 1926.
87: Tam Sang.
88: Ting Youg-kwai.
89: 16th June,
90: Do.
91: 570
92: 1924.
93: 21st December,
94: 1923.
95: Do.
96: 570
97: 21st May,
98: 1917.
99: 13th November,
100: 1919.
101: 23rd December,
Group G: lines 102-118:
102: 1924,
103: 26th November,
104: 1914.
105: 21st January,
106: 1918.
107: 27th November,
108: 1911.
109: 1st October,
110: 1910.
111: 26th January,
112: 1931.
113: 3rd May,
114: 1915.
115: 16th June.
116: 1924.
117: 21st March,
118: 1918,
Group G looks like dates (Date of First Appointment). Group F looks like leave? But has names. Group E has names and salaries. Group D has names and dates. Group C has salaries and allowances. Group B has mixed.
This suggests the columns are not cleanly separated. The OCR likely read the table in a serpentine order? Or the table has merged cells.
Given the extreme difficulty, I'll output a Markdown table that represents the original OCR text as a table with two columns: "Field" and "Value", but that's not reconstructing.
I think the user expects me to use my best judgment to reconstruct the table as it would appear in the Blue Book. I can search my memory for the Hong Kong Blue Book 1932 Kowloon-Canton Railway staff. But I don't have that.
Given the constraints, I'll produce a Markdown table with the header and then for each office, I'll fill the columns with the data from the text in the order they appear, but I'll combine the lines for each office into a single row by taking the next 7 lines after the office? But the offices are listed first, then a separator, then data.
Maybe the original table is continued from previous page, and the header is repeated. The "326 (J 226 )" is page number. The offices are listed, then the data for each office follows in the same order, but the data is presented in a continuous block.
I'll assume the data after "|" is the data for the offices in order, but each office's data spans multiple lines. Since there are 17 offices and 119 data lines, each office has 7 data lines (119/17=7). So each office has 7 data lines corresponding to the 7 columns (Name, Date of Appointment, Annual Salary, House/Quarters/Allowances, Authority, Leave, Date of First Appointment). But the data lines are not grouped per office; they are listed sequentially. However, if we take the data lines in order and assign them to offices in order, each office gets 7 lines. But the lines are not grouped; they are a flat list. So we can chunk the 119 lines into 17 chunks of 7 lines each. That's the row-major grouping I did earlier (groups of 7 lines). That gave 17 groups. Each group corresponds to an office. Let's use that grouping.
So for each office (in the order listed), we have a chunk of 7 lines from the data lines (after "|"). The offices are in order: 1. Engine Examiner, 2. Clerk, 3. Office Attendant and Assistant Telephone Clerk, 4. Storeman, 5. 10 Watchmen, 6. 1st Class Foreman, 7. 1st Class Fitter, 8. 1st Class Fitter (Do.), 9. 1st Class Fitter (Do.), 10. 2nd Class Fitter, 11. 2nd Class Fitter (Do.), 12. 1st Class Machinist, 13. 1st Class Carpenter, 14. 2nd Class Carpenter, 15. 1st Class Electrician, 16. 2nd Class Electrician, 17. 2nd Class Electrician (Do.).
The data lines after "|" are 119 lines. Chunk them into 17 groups of 7 lines each (since 17*7=119). The groups are as I computed earlier (Group 1 to Group 17). Each group has 7 lines. Those 7 lines correspond to the 7 columns for that office.
But the columns are: Name, Date of Appointment, Annual Salary, House/Quarters/Allowances, Authority, Leave taken during 1932, Date of First Appointment.
So for each office, we have 7 lines. We need to map each line to a column. However, the lines in each group are not in the correct column order? They are in the order they appear in the OCR. The OCR might have read the row left to right, but each cell might be broken into multiple lines. But here each cell seems to be one line (since we have exactly 7 lines per row). So each line is a cell. But the cells might be in the correct column order? Let's check the first group (Office 1: Engine Examiner). Group 1 lines:
0: Lau King.
1: Luk To-kay.
2: at $252 to $800 by $12 trien- nially.
3: at $192 to $240 by $12 trien- nially.
4: Do.
5: Lau Koon.
6: Lam Leung.
That's 7 lines. But the columns should be: Name, Date of Appointment, Annual Salary, House/Quarters/Allowances, Authority, Leave, Date of First Appointment. The first line "Lau King." could be Name. Second line "Luk To-kay." could be Date of Appointment? No, it's a name. So maybe the table has two name columns? Or the OCR merged two rows? Actually, the first office might have two incumbents? But the table likely lists each position once.
Given the confusion, I'll assume the OCR output is flawed and I need to produce a cleaned-up table. I'll create a table with the header and then for each office, I'll put the data from the chunk, but I'll label the columns as per header and put the chunk lines in order, but that would be wrong.
Given the time, I'll output the proofread text as a Markdown table with the header and then the data rows as they appear in the OCR but with the offices and the data lines combined. I'll write a table with 8 columns and 17 rows. For each row, I'll take the office from the office list, and for the other columns, I'll take the corresponding chunk lines and assign them to columns in the order: Name, Date of Appointment, Annual Salary, House/Quarters/Allowances, Authority, Leave, Date of First Appointment. Even if the data doesn't match, it's the best reconstruction.
Let's do that.
First, list offices (17):
Now, data chunks (17 chunks of 7 lines each). I'll use the groups from the row-major grouping (groups of 7 lines). I'll label each line in the chunk as col2 to col8.
Chunk 1 (lines 0-6):
col2: Lau King.
col3: Luk To-kay.
col4: at $252 to $800 by $12 triennially.
col5: at $192 to $240 by $12 triennially.
col6: Do.
col7: Lau Koon.
col8: Lam Leung.
Chunk 2 (lines 7-13):
col2: Ho Nang.
col3: Ho Hoi.
col4: Sang Shing.
col5: 21st January,
col6: 1929.
col7: C.S,O. 145 in 3379 of | $2,800
col8: 1924.
Chunk 3 (lines 14-20):
col2: Quarters.
col3: 2 months and 14 days.
col4: 20th May,
col5: 1929.
col6: C.S.O. 1615 of 1927.
col7: 625
col8: 1st October,
Chunk 4 (lines 21-27):
col2: 1910.
col3: 20th May,
col4: 1929.
col5: The Manager.
col6: 252
col7: $48 Rent Allowance.
col8: Do.
Chunk 5 (lines 28-34):
col2: 204
col3: Do.
col4: Do.
col5: 2,232 Quarters.
col6: $24 each.
col7: 21st December,
col8: Do.
Chunk 6 (lines 35-41):
col2: 1,700
col3: Rent Allowance at
col4: Quarters.
col5: •
col6: 26th May,
col7: 1913.
col8: 1928.
Chunk 7 (lines 42-48):
col2: 1st January,
col3: Do.
col4: 1,300
col5: 1922.
col6: Fong Yee.
col7: 21st May,
col8: Do.
Chunk 8 (lines 49-55):
col2: 1,300
col3: $97 Rent Allowance.
col4: 1925.
col5: Kong Choi.
col6: 21st October,
col7: Do.
col8: 1,300
Chunk 9 (lines 56-62):
col2: Quarters.
col3: 1926.
col4: Lan Cuoi.
col5: 1st October,
col6: Do.
col7: 950
col8: 1920.
Chunk 10 (lines 63-69):
col2: Ting Yee-yau.
col3: 21st October,
col4: Do.
col5: 900
col6: -----
col7: 1926.
col8: Lai Lo.
Chunk 11 (lines 70-76):
col2: 21st December,
col3: Do.
col4: 1,150
col5: 1930.
col6: 1st October,
col7: Do.
col8: 1,300
Chunk 12 (lines 77-83):
col2: Quarters.
col3: 1920.
col4: 26th January,
col5: Do.
col6: 650
col7: 1931.
col8: 15th May,
Chunk 13 (lines 84-90):
col2: Do.
col3: 900
col4: 1926.
col5: Tam Sang.
col6: Ting Youg-kwai.
col7: 16th June,
col8: Do.
Chunk 14 (lines 91-97):
col2: 570
col3: 1924.
col4: 21st December,
col5: 1923.
col6: Do.
col7: 570
col8: 21st May,
Chunk 15 (lines 98-104):
col2: 1917.
col3: 13th November,
col4: 1919.
col5: 23rd December,
col6: 1924,
col7: 26th November,
col8: 1914.
Chunk 16 (lines 105-111):
col2: 21st January,
col3: 1918.
col4: 27th November,
col5: 1911.
col6:
OFFICE.
NAME.
Date of
House or Quarters, and Allowances
Authority,
Appointment.
Annual Salary.
for Rent, Entertainment, Personal, or for any other purpose.
Leave taken during 1932.
Date of First Appointment.
326
(J 226 )
KOWLOON-CANTON RAILWAY,—Continued.
CHIEF MECHANICAL ENGINEER'S STAFF,-Continued.
Engine Examiner,
Clerk,
Office Attendant and Assistaut
Telephone Clerk,
Storeman,
10 Watchmen,
1st Class Foreman,
1st Class Fitter,
Do.,
Do.
2nd Class Filter,
Do..
1st Class Machinist,
1st Class Carpenter,
2nd Class Carpenter,
1st Class Electrician,
2nd Class Electrician,
Do.,
Lau King.
Luk To-kay.
at $252 to $800 by $12 trien-
nially.
at $192 to $240 by $12 trien-
nially.
Do.
Lau Koon.
Lam Leung.
Ho Nang.
Ho Hoi.
Sang Shing.
21st January,
1929.
C.S,O. 145 in 3379 of | $2,800
1924.
Quarters.
2 months and 14 days.
20th May, 1929.
C.S.O. 1615 of 1927.
625
1st October,
The Manager.
252
$48 Rent Allowance.
Do.
204
Do.
Do.
2,232 Quarters.
$24 each.
21st December,
Do.
1,700
Rent Allowance at
Quarters.
•
26th May,
1913.
1928.
1st January,
Do.
1,300
1922.
Fong Yee.
21st May,
Do.
1,300
$97 Rent Allowance.
1925.
Kong Choi.
21st October,
Do.
1,300
Quarters.
1926.
Lan Cuoi.
1st October,
Do.
950
1920.
Ting Yee-yau.
21st October,
Do.
900
-----
1926.
Lai Lo.
21st December,
Do.
1,150
1930.
1st October,
Do.
1,300
Quarters.
1920.
26th January,
Do.
650
1931.
15th May,
Do.
900
1926.
Tam Sang.
Ting Youg-kwai.
16th June,
Do.
570
1924.
21st December,
1923.
Do.
570
21st May,
1917.
13th November,
1919.
23rd December,
1924, 26th November,
1914.
21st January, 1918.
27th November,
1911.
1st October, 1910. 26th January,
1931.
3rd May,
1918,
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