Triple
T2176369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Command Papers |
E48536
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
Cd
Cd is an abbreviation used for a series of British government Command Papers published in the early 20th century.
|
E242916
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Cd | Statement: [Command Papers, hasAbbreviation, Cd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cd Context triple: [Command Papers, hasAbbreviation, Cd]
-
A.
CD+G
CD+G is a compact disc format that stores low-resolution graphics alongside audio, commonly used for karaoke and simple visual displays.
-
B.
Red Book
The Red Book was an earlier Federal Reserve report that provided periodic summaries of regional economic conditions in the United States before being replaced by the Beige Book.
-
C.
CM
CM is the two-letter ISO 3166-1 alpha-2 country code assigned to Cameroon.
-
D.
CM
CM is the standard abbreviation for "Concrete Mathematics," a well-known textbook by Graham, Knuth, and Patashnik that blends discrete mathematics with concrete problem-solving techniques.
-
E.
CM
CM is the post-nominal letters used to denote a Member of the Order of Canada, one of the country’s highest civilian honors.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Cd Triple: [Command Papers, hasAbbreviation, Cd]
Generated description
Cd is an abbreviation used for a series of British government Command Papers published in the early 20th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cd Target entity description: Cd is an abbreviation used for a series of British government Command Papers published in the early 20th century.
-
A.
CD+G
CD+G is a compact disc format that stores low-resolution graphics alongside audio, commonly used for karaoke and simple visual displays.
-
B.
Red Book
The Red Book was an earlier Federal Reserve report that provided periodic summaries of regional economic conditions in the United States before being replaced by the Beige Book.
-
C.
CM
CM is the two-letter ISO 3166-1 alpha-2 country code assigned to Cameroon.
-
D.
CM
CM is the standard abbreviation for "Concrete Mathematics," a well-known textbook by Graham, Knuth, and Patashnik that blends discrete mathematics with concrete problem-solving techniques.
-
E.
CM
CM is the post-nominal letters used to denote a Member of the Order of Canada, one of the country’s highest civilian honors.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a88aa3faa48190995b233af6525815 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbeecdbc881909982a58568f0b1ed |
completed | March 7, 2026, 6 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5d9eff988190a02734bd73616cba |
completed | March 9, 2026, 5:41 a.m. |
| NEDg | Description generation | batch_69ae5e5f023081909cd046b5850f8026 |
completed | March 9, 2026, 5:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae5ef99018819083a778378ea493e8 |
completed | March 9, 2026, 5:47 a.m. |
Created at: March 4, 2026, 7:45 p.m.