Triple

T36584469
Position Surface form Disambiguated ID Type / Status
Subject Māori Electoral Option E902484 entity
Predicate consequenceOfChoice P812 FINISHED
Object allocation of Māori seats in the House of Representatives 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: allocation of Māori seats in the House of Representatives | Statement: [Māori Electoral Option, consequenceOfChoice, allocation of Māori seats in the House of Representatives]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: consequenceOfChoice
Context triple: [Māori Electoral Option, consequenceOfChoice, allocation of Māori seats in the House of Representatives]
  • A. consequenceOfInfluence
    Indicates that one event, state, or condition occurs as a result of the influence or impact exerted by another.
  • B. consequenceOfQuest
    Indicates that an event, state, or outcome occurs as a direct result of completing or progressing in a specific quest.
  • C. hasConsequence chosen
    Indicates that one event, action, or condition leads to or results in another as its outcome or effect.
  • D. narrativeConsequence
    Indicates that one event, action, or state occurs as a direct result or outcome of another within a narrative sequence.
  • E. consequenceInText
    Indicates that one event, action, or state is presented in the text as a consequence or result of another.
  • 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_69fcd867f36081908c88c55a6a1404c1 completed May 7, 2026, 6:22 p.m.
PD Predicate disambiguation batch_69fcd1f47b188190b4cf4b4c748d9d03 completed May 7, 2026, 5:55 p.m.
Created at: May 3, 2026, 4:11 p.m.