Triple

T2301330
Position Surface form Disambiguated ID Type / Status
Subject Cape Dorset E51737 entity
Predicate officialInNunavut P10531 FINISHED
Object recognized hamlet 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: recognized hamlet | Statement: [Cape Dorset, officialInNunavut, recognized hamlet]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: officialInNunavut
Context triple: [Cape Dorset, officialInNunavut, recognized hamlet]
  • A. officialIn
    Indicates that an entity holds an official position, role, or office within a specified organization, institution, or jurisdiction.
  • B. oneOfSixOfficialLanguagesOf
    Indicates that a language is one of the six officially recognized languages of a particular organization, institution, or entity.
  • C. areOfficialIn chosen
    Indicates that an entity holds an official role, position, or capacity within another entity (such as an organization, institution, or jurisdiction).
  • D. previousOfficialLanguage
    Indicates that one language formerly held official status in a country, region, or organization before being replaced or losing that status.
  • E. hostGovernment
    Indicates that a government serves as the official host or primary responsible authority for an event, activity, organization, or foreign presence within its jurisdiction.
  • 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_69a88b0a9f248190bcff941463d8f65a completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abcbabf01081908db3b42bc7c60444 completed March 7, 2026, 6:54 a.m.
PD Predicate disambiguation batch_69abc58ad33c8190b8d68af41b6f5e07 completed March 7, 2026, 6:28 a.m.
Created at: March 4, 2026, 7:49 p.m.