Triple
T27645136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palerang Council |
E696690
|
entity |
| Predicate | hadNumberOfCouncillors |
P2433
|
FINISHED |
| Object | 9 |
—
|
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: 9 | Statement: [Palerang Council, hadNumberOfCouncillors, 9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadNumberOfCouncillors Context triple: [Palerang Council, hadNumberOfCouncillors, 9]
-
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.
hadElectedCouncil
Indicates that an entity was governed or administered by a council whose members were chosen through an election process.
-
D.
hasNumberOfDeputies
Indicates the specific count of deputies associated with or assigned to an entity.
-
E.
hasNumberOfMPs
Indicates the relationship that specifies how many members of parliament (MPs) are associated with a given 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_69ef5909f3848190805f35b76833e722 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f6319513b881909c38f297ff102911 |
completed | May 2, 2026, 5:17 p.m. |
| PD | Predicate disambiguation | batch_69f62c1921008190a62675a31f66a875 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 2:28 p.m.