Triple
T5739503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Armed Police Forces (Assistant Commandants) Examination |
E126578
|
entity |
| Predicate | recruitsGroup |
P59706
|
FINISHED |
| Object | Group A |
—
|
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: Group A | Statement: [Central Armed Police Forces (Assistant Commandants) Examination, recruitsGroup, Group A]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recruitsGroup Context triple: [Central Armed Police Forces (Assistant Commandants) Examination, recruitsGroup, Group A]
-
A.
recruitsFor
Indicates that one entity actively seeks out, enlists, or brings in participants, members, or resources on behalf of another entity, such as an organization, event, or cause.
-
B.
classOfRecruit
chosen
Indicates that one entity is the class, category, or type to which the recruit entity belongs.
-
C.
participantGroup
Indicates a relationship in which a set or group of entities jointly participate in a common event, activity, or interaction.
-
D.
groups
Indicates that one entity organizes, clusters, or associates multiple entities together as members of a collective set or category.
-
E.
recruitedAs
Indicates that one entity has been brought into a role, position, or organization by another through a recruitment process.
- 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.