Triple

T1329796
Position Surface form Disambiguated ID Type / Status
Subject Glengarry—Prescott—Russell E28615 entity
Predicate hasOfficialLanguageCommunity P5562 FINISHED
Object Francophone population 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: Francophone population | Statement: [Glengarry—Prescott—Russell, hasOfficialLanguageCommunity, Francophone population]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOfficialLanguageCommunity
Context triple: [Glengarry—Prescott—Russell, hasOfficialLanguageCommunity, Francophone population]
  • A. hasLanguageCommunity chosen
    Indicates that an entity is associated with or serves a particular language community.
  • B. isOfficialMinorityLanguageIn
    Indicates that a language has formal, legally recognized minority-language status within a specified political or geographic entity.
  • C. additionalOfficialLanguage
    Indicates that an entity has another language, beyond its primary one, that holds official or formally recognized status.
  • D. majorityLanguageOf
    Indicates that a given language is the primary or most widely spoken language within a specified group, region, or entity.
  • E. hasOfficialLanguagePolicy
    Indicates that there exists a formally adopted rule or set of rules governing the use, status, or regulation of one or more languages within a given context or 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_69a498561a508190a3e1bc137c2b866a completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c1c30c948190afc6342b3dcda948 completed March 1, 2026, 10:46 p.m.
PD Predicate disambiguation batch_69a4beef6a188190996f8775bdda8f6c completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:55 p.m.