Triple
T2642821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leven, Kennoway and Largo |
E62912
|
entity |
| Predicate | numberOfCouncillorsElected |
P31812
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Leven, Kennoway and Largo, numberOfCouncillorsElected, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCouncillorsElected Context triple: [Leven, Kennoway and Largo, numberOfCouncillorsElected, 3]
-
A.
hasNumberOfCouncillors
Indicates the relationship that specifies how many councillors are associated with a given entity.
-
B.
numberOfElectedMembers
chosen
Indicates the total count of individuals who have been formally chosen through an election to serve as members of a given body or group.
-
C.
numberOfSeatsWon
Indicates the quantity of seats secured by an entity (such as a party or candidate) in an election or representative body.
-
D.
eachDistrictElects
Indicates that every electoral district selects or chooses its own representative or set of representatives.
-
E.
numberOfCommitteeMembers
Indicates the total count of individuals who are members of a given 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_69ab4c3f2dcc819082df80f5e032f690 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abd8ff34988190ba9d69ce9d77c71d |
completed | March 7, 2026, 7:51 a.m. |
| PD | Predicate disambiguation | batch_69abd814298c8190952f05aed43f6bb8 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:53 p.m.