Triple
T11060906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Māori electorates |
E261503
|
entity |
| Predicate | rollChoiceFrequency |
P56261
|
FINISHED |
| Object | every five years during the Māori Electoral Option |
—
|
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: every five years during the Māori Electoral Option | Statement: [Māori electorates, rollChoiceFrequency, every five years during the Māori Electoral Option]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rollChoiceFrequency Context triple: [Māori electorates, rollChoiceFrequency, every five years during the Māori Electoral Option]
-
A.
decisionFrequency
chosen
Indicates how often decisions are made or actions are chosen within a given process or interaction.
-
B.
gamesFrequency
Indicates how often the related entities engage in playing games together or participate in game-related activities.
-
C.
selectionRankingFrequency
Indicates how often an entity is chosen or ranked in a particular position within a selection or ordering process.
-
D.
awardedFrequency
Indicates how often an award or recognition is given within a specified time period.
-
E.
typicalNumberOfSelections
Indicates the usual or expected count of selections made in a given choice or selection process.
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d798ea834c819099401e69f995c59f |
completed | April 9, 2026, 12:17 p.m. |
| PD | Predicate disambiguation | batch_69d74411d9e881908c0eeafa0f38e4b6 |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:26 p.m.