Triple
T5739524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Armed Police Forces (Assistant Commandants) Examination |
E126578
|
entity |
| Predicate | jobNature |
P55498
|
FINISHED |
| Object | paramilitary officer |
—
|
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: paramilitary officer | Statement: [Central Armed Police Forces (Assistant Commandants) Examination, jobNature, paramilitary officer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: jobNature Context triple: [Central Armed Police Forces (Assistant Commandants) Examination, jobNature, paramilitary officer]
-
A.
typeOfWork
Indicates the kind or category of work associated with or performed by an entity.
-
B.
careerType
chosen
Indicates the kind or category of professional occupation or career path associated with an entity.
-
C.
employmentType
Indicates the specific kind or category of employment relationship that exists between an individual and an employer (e.g., full-time, part-time, contract).
-
D.
purposeOfWork
Indicates that one entity is the intended goal, function, or objective that motivates or justifies the work performed by another entity.
-
E.
settingOfWork
Indicates the place, time, or environment in which a creative work’s narrative or events are situated.
- F. None of above.
Provenance (3 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. |
Created at: March 22, 2026, 3:48 p.m.