Triple

T36554729
Position Surface form Disambiguated ID Type / Status
Subject CNZM E901670 entity
Predicate orderHasChancellor P185847 FINISHED
Object Governor-General of New Zealand NE NERFINISHED

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: Governor-General of New Zealand | Statement: [CNZM, orderHasChancellor, Governor-General of New Zealand]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: orderHasChancellor
Context triple: [CNZM, orderHasChancellor, Governor-General of New Zealand]
  • A. hasChancellor
    Indicates that an entity holds the position or role of chancellor for another entity.
  • B. chancellorPower
    Indicates that an entity holds the authoritative executive or administrative powers associated with the role of chancellor over another entity or domain.
  • C. precededInOfficeAsChancellorBy
    Indicates that one individual assumed the role of Chancellor after another specific individual, who held the office immediately before them.
  • D. lastChancellor
    Indicates that one entity served as the most recent chancellor of another entity (such as a country, institution, or organization).
  • E. chancellorTitle
    Indicates the official title or designation held by an individual serving in the role of chancellor.
  • F. None of above. chosen

Provenance (4 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_69f76e634e9481908c9ba1b87ab87c26 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c371931c8190afb1d4dd5157f92c completed May 3, 2026, 9:51 p.m.
PD Predicate disambiguation batch_69f7c1baf25c8190a78dd54a400d2c50 completed May 3, 2026, 9:44 p.m.
PDg Predicate description generation batch_69f7c3705b5c81908c84004543a71c07 completed May 3, 2026, 9:51 p.m.
Created at: May 3, 2026, 4:11 p.m.