Triple
T5739516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Armed Police Forces (Assistant Commandants) Examination |
E126578
|
entity |
| Predicate | paper1Subject |
P450
|
FINISHED |
| Object | General Ability and Intelligence |
—
|
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: General Ability and Intelligence | Statement: [Central Armed Police Forces (Assistant Commandants) Examination, paper1Subject, General Ability and Intelligence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: paper1Subject Context triple: [Central Armed Police Forces (Assistant Commandants) Examination, paper1Subject, General Ability and Intelligence]
-
A.
subjectMatter
chosen
Indicates the topic, theme, or content area that something (such as a work, document, or discussion) is about.
-
B.
subjectType
Indicates the classification or category that defines what kind of entity the subject is.
-
C.
book4Subject
Indicates that something is the subject or topic that a particular book is about.
-
D.
book3Subject
Indicates that an entity serves as the third subject or topic discussed or treated in a particular book.
-
E.
articleIISubject
Indicates that the entity functions as the grammatical subject of a sentence governed by Article II.
- 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.