Triple
T14309185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Representatives of Fiji |
E354776
|
entity |
| Predicate | hadCommittees |
P1396
|
FINISHED |
| Object | parliamentary standing committees |
—
|
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: parliamentary standing committees | Statement: [House of Representatives of Fiji, hadCommittees, parliamentary standing committees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadCommittees Context triple: [House of Representatives of Fiji, hadCommittees, parliamentary standing committees]
-
A.
hasCommittee
chosen
Indicates that an entity is associated with or overseen by a specific committee.
-
B.
hadSubcommittee
Indicates that an entity (typically an organization or committee) possessed or was associated with a subordinate committee or subcommittee.
-
C.
hasSubjectCommittees
Indicates that an entity is associated with one or more committees responsible for overseeing or managing its academic subjects or courses.
-
D.
hasNumberOfCommittees
Indicates the relationship that specifies how many committees are associated with a given entity.
-
E.
hasSelectCommittees
Indicates that an entity possesses or is associated with one or more select committees.
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de85b26da48190a96e2f60ace51335 |
completed | April 14, 2026, 6:21 p.m. |
| PD | Predicate disambiguation | batch_69de2a8f81f08190af737e1654847aa6 |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:12 a.m.