Triple

T9558987
Position Surface form Disambiguated ID Type / Status
Subject Mangaia E230620 entity
Predicate hasTraditionalPoliticalDivision P20121 FINISHED
Object districts (puna) 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: districts (puna) | Statement: [Mangaia, hasTraditionalPoliticalDivision, districts (puna)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTraditionalPoliticalDivision
Context triple: [Mangaia, hasTraditionalPoliticalDivision, districts (puna)]
  • A. modernPoliticalDivisionIncludes
    Indicates that a present-day political or administrative unit geographically contains another political or administrative unit.
  • B. hasTraditionalCapital
    Indicates that an entity serves or is recognized as the traditional or historical capital of another entity.
  • C. historicallyDividedInto chosen
    Indicates that an entity was separated into multiple distinct parts or regions during a past historical period.
  • D. hasHistoricTerritory
    Indicates that an entity possesses or claims a territory that it historically occupied, controlled, or was associated with in the past.
  • E. politicalDivision
    Indicates that one entity is a governmental or administrative subdivision or jurisdiction within the territory or authority of another entity.
  • 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_69ca847e53a88190a60eed7e02257f10 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd994a7e9c8190b68883c2ea45aa1a completed April 1, 2026, 10:16 p.m.
PD Predicate disambiguation batch_69ccd594d0ac8190a81bc11a3a538167 completed April 1, 2026, 8:21 a.m.
Created at: March 30, 2026, 8:03 p.m.