Triple
T21700390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zamboanga City Council |
E535639
|
entity |
| Predicate | numberOfCouncilors |
P2433
|
FINISHED |
| Object | elected councilors |
—
|
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: elected councilors | Statement: [Zamboanga City Council, numberOfCouncilors, elected councilors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCouncilors Context triple: [Zamboanga City Council, numberOfCouncilors, elected councilors]
-
A.
hasNumberOfCouncillors
chosen
Indicates the relationship that specifies how many councillors are associated with a given entity.
-
B.
hasCouncillors
Indicates that an entity is associated with one or more councillors who serve or represent it in an official capacity.
-
C.
numberOfCommitteeMembers
Indicates the total count of individuals who are members of a given committee.
-
D.
numberOfDistrictMembers
Indicates the relationship that specifies how many members are associated with a given district.
-
E.
hasNumberOfDeputies
Indicates the specific count of deputies associated with or assigned to an entity.
- 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_69e0c46b44c0819088ab883ebd44e0e8 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef9b7edd3c8190bca83ef37598cbfb |
completed | April 27, 2026, 5:23 p.m. |
| PD | Predicate disambiguation | batch_69e6969113cc8190ab69855ef5667e4b |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:45 p.m.