Triple

T34484095
Position Surface form Disambiguated ID Type / Status
Subject Ngāti Hauā E885268 entity
Predicate hasHistoricalLeaders P116364 FINISHED
Object various rangatira of Ngāti Hauā 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: various rangatira of Ngāti Hauā | Statement: [Ngāti Hauā, hasHistoricalLeaders, various rangatira of Ngāti Hauā]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHistoricalLeaders
Context triple: [Ngāti Hauā, hasHistoricalLeaders, various rangatira of Ngāti Hauā]
  • A. notableHistoricalLeaders chosen
    Indicates that the related entities are recognized as historically significant leaders, such as rulers, commanders, or influential figures in major historical events.
  • B. hadLeadershipFrom
    Indicates that one entity received leadership, guidance, or direction from another entity.
  • C. historicalRepresentative
    Indicates that one entity serves or served as an official representative or delegate of another entity in a historical context.
  • D. hasFormerAffiliationOfLeader
    Indicates that an entity was previously affiliated with the organization or group to which a specified leader once belonged or led.
  • E. hasFormerLeader
    Indicates that an entity previously held the role of leader of another entity but no longer does.
  • 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_69f349c947fc81909d30b53c194d6ea1 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69ff1ba8694481909ceb36f26ca85612 completed May 9, 2026, 11:34 a.m.
PD Predicate disambiguation batch_69ff1b27f0f08190a9e74308c5b3d1ba completed May 9, 2026, 11:31 a.m.
Created at: May 1, 2026, 2:01 a.m.