Triple
T6389168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Zealand South Island electorates |
E143774
|
entity |
| Predicate | hasFixedNumberOfGeneralElectorates |
P13200
|
FINISHED |
| Object | 16 |
—
|
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: 16 | Statement: [New Zealand South Island electorates, hasFixedNumberOfGeneralElectorates, 16]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFixedNumberOfGeneralElectorates Context triple: [New Zealand South Island electorates, hasFixedNumberOfGeneralElectorates, 16]
-
A.
electoratesCalled
Indicates that specific electoral districts or constituencies are given particular names or designations.
-
B.
hasNumberOfConstituencies
chosen
Indicates the specific count of constituencies associated with an entity.
-
C.
hasElectorate
Indicates that a political representative, office, or governing body is associated with and serves a specific group of voters or electoral district.
-
D.
hasNumberOfSenatorialDivisions
Indicates the relationship that specifies how many senatorial divisions are associated with a given entity.
-
E.
numberOfElectors
Indicates the total count of electors associated with a given entity or context.
- 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_69c008dac1ec81909cef8157ccd69962 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0686cc6d481909c62a29a84a4ce8e |
completed | March 22, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69c060eff524819094cee1c70a0c1ff4 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:34 p.m.