Triple
T36584466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Māori Electoral Option |
E902484
|
entity |
| Predicate | typeOfChoice |
P158038
|
FINISHED |
| Object | electoral roll choice |
—
|
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: electoral roll choice | Statement: [Māori Electoral Option, typeOfChoice, electoral roll choice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfChoice Context triple: [Māori Electoral Option, typeOfChoice, electoral roll choice]
-
A.
typeOfSelection
Indicates the specific kind or category of selection being made in a given context.
-
B.
coordinateChoice
Indicates that one option is selected from a set of mutually exclusive alternatives within a coordinated choice structure.
-
C.
optionType
chosen
Indicates the specific category or kind an option belongs to within a set of possible choices.
-
D.
slotType
Indicates the classification or category assigned to a particular slot or position within a structure, system, or sequence.
-
E.
decisionType
Indicates the specific category or nature of a decision associated with an entity or event.
- 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_69f76e64d8908190868473959a250b94 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a0317eaf4e88190a6f6419cb4ef7547 |
completed | May 12, 2026, 12:07 p.m. |
| PD | Predicate disambiguation | batch_6a03179da394819095e3d346c3785d74 |
completed | May 12, 2026, 12:05 p.m. |
Created at: May 3, 2026, 4:11 p.m.