Triple
T9713292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Majlis |
E235071
|
entity |
| Predicate | hasStandingCommitteesOn |
P1396
|
FINISHED |
| Object | national security |
—
|
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: national security | Statement: [Majlis, hasStandingCommitteesOn, national security]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStandingCommitteesOn Context triple: [Majlis, hasStandingCommitteesOn, national security]
-
A.
hasStandingCommittees
Indicates that an entity maintains one or more permanent (standing) committees as part of its organizational structure.
-
B.
hasNumberOfCommittees
Indicates the relationship that specifies how many committees are associated with a given entity.
-
C.
hasNotableMemberCommittee
Indicates that a committee includes at least one member who is notable or distinguished in some recognized way.
-
D.
hasSubjectCommittees
Indicates that an entity is associated with one or more committees responsible for overseeing or managing its academic subjects or courses.
-
E.
hasCommittee
chosen
Indicates that an entity is associated with or overseen by a specific committee.
- 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_69ca84cd8fa0819090a5e243ceb37003 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e087a1c8190aa62c910f88e8516 |
completed | April 1, 2026, 10:36 p.m. |
| PD | Predicate disambiguation | batch_69cd03bfeca08190924fca43aaa9c10f |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:19 p.m.