Triple

T8939416
Position Surface form Disambiguated ID Type / Status
Subject France Bélisle E212859 entity
Predicate residence P75 FINISHED
Object Gatineau E39089 NE 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: Gatineau | Statement: [France Bélisle, residence, Gatineau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gatineau
Context triple: [France Bélisle, residence, Gatineau]
  • A. Gatineau chosen
    Gatineau is a city in western Quebec, Canada, located across the Ottawa River from Ottawa and forming part of the National Capital Region.
  • B. Saint-Hyacinthe
    Saint-Hyacinthe is a city in southwestern Quebec, Canada, known as an important regional center for agriculture, agri-food industries, and education.
  • C. Trois-Rivières
    Trois-Rivières is a historic industrial and cultural city in the Canadian province of Quebec, located roughly midway between Montreal and Quebec City.
  • D. Joliette
    Joliette is a Montreal Metro station on the Green Line serving the Mercier–Hochelaga-Maisonneuve borough in Montreal, Quebec, Canada.
  • E. Longueuil
    Longueuil is a major suburb of Montreal and one of the largest cities on the south shore of the Saint Lawrence River in Quebec, Canada.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca839694c88190b324ffeb43d23b08 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66b7484481909e0d7610552f5386 completed April 1, 2026, 12:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69d12cbcd5948190a26a705ebd06f0ce completed April 4, 2026, 3:22 p.m.
Created at: March 30, 2026, 6:58 p.m.