Triple

T21972442
Position Surface form Disambiguated ID Type / Status
Subject Collège de Montréal E542621 entity
Predicate hasAdministrationLanguage P86356 FINISHED
Object French 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: French | Statement: [Collège de Montréal, hasAdministrationLanguage, French]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAdministrationLanguage
Context triple: [Collège de Montréal, hasAdministrationLanguage, French]
  • A. usesLanguageForAdministration chosen
    Indicates that an entity employs a particular language as the official medium for its administrative or governmental functions.
  • B. languageOfCurrentAdministration
    Indicates the language currently used by the governing or administrative authority in charge.
  • C. historicallyDominantLanguageOfAdministrationIn
    Indicates that a language has historically been the primary language used for official governance and administrative functions within a given place or political entity.
  • D. hasRepresentativeLanguage
    Indicates that an entity is associated with a language that serves as its primary or officially recognized means of representation or communication.
  • E. administrativeLanguageAuthority
    Indicates that an entity has official authority or responsibility over the regulation, standardization, or governance of a particular administrative language.
  • 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_69e0c48070988190909db97667b9a0ac completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f124857dcc8190ab474cd8ab9c130a completed April 28, 2026, 9:20 p.m.
PD Predicate disambiguation batch_69e6f601f2188190893bcdde0cf58ad6 completed April 21, 2026, 3:58 a.m.
Created at: April 16, 2026, 8:02 p.m.