Triple
T5739518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Armed Police Forces (Assistant Commandants) Examination |
E126578
|
entity |
| Predicate | paper1Type |
P65566
|
FINISHED |
| Object | objective |
—
|
LITERAL FINISHED |
How this triple was built (2 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: objective | Statement: [Central Armed Police Forces (Assistant Commandants) Examination, paper1Type, objective]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: paper1Type Context triple: [Central Armed Police Forces (Assistant Commandants) Examination, paper1Type, objective]
-
A.
paperArchive
Indicates that a paper is stored, preserved, or made available within a particular archive or archival system.
-
B.
publicationType
Indicates the specific category or format of a published work that characterizes how it is issued or presented.
-
C.
draftType
Indicates the specific category or kind of draft associated with an entity or document (e.g., initial, revised, or final draft).
-
D.
manuscriptType
Indicates the specific category or kind of manuscript associated with an entity (e.g., draft, final version, annotated copy).
-
E.
printedWorkSubject
Indicates that a printed work (such as a book, article, or other publication) is about or focuses on a particular subject or topic.
- F. None of above. chosen
Provenance (4 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_69c0083179548190b384b0bf3c08ca4d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0255dc35c8190ab9ee5d269ce553a |
completed | March 22, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69c021c8195481909419808b002628aa |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c022a50c048190aff24c63e7039dd6 |
completed | March 22, 2026, 5:11 p.m. |
Created at: March 22, 2026, 3:48 p.m.