Triple
T1254961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyttelton electorate |
E26965
|
entity |
| Predicate | electoralCategory |
P15379
|
FINISHED |
| Object | single-member constituency |
—
|
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: single-member constituency | Statement: [Lyttelton electorate, electoralCategory, single-member constituency]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electoralCategory Context triple: [Lyttelton electorate, electoralCategory, single-member constituency]
-
A.
electorateCategory
chosen
Indicates the classification of an electorate or voter group into a specific category based on defined electoral or demographic criteria.
-
B.
electoralBase
Indicates the group of voters or supporters that primarily backs or sustains a particular candidate, party, or political movement in elections.
-
C.
electoralBasis
Indicates the principle, rule, or criterion by which representatives or officials are chosen in an election.
-
D.
electoralStatus
Indicates the current state or condition of an entity in relation to an election process (e.g., running, elected, defeated, or not a candidate).
-
E.
electoralRole
Indicates the specific function, position, or capacity an entity holds within an electoral process or system.
- 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_69a49487a9c48190ba9b05348fd1b53f |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bfa5a4cc819093ed686619b572d8 |
completed | March 1, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6c977c8190a2bf3e8b67a59beb |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:47 p.m.