Triple

T20282623
Position Surface form Disambiguated ID Type / Status
Subject Mauricie E503187 entity
Predicate hasRegionalCountyMunicipality P55805 FINISHED
Object Mékinac NE NERFINISHED

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: Mékinac | Statement: [Mauricie, hasRegionalCountyMunicipality, Mékinac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mékinac
Context triple: [Mauricie, hasRegionalCountyMunicipality, Mékinac]
  • A. Mékinac chosen
    Mékinac is a regional county municipality in the Mauricie region of Quebec, Canada, known for its vast forests, lakes, and outdoor recreational activities.
  • B. Huron
    Huron is a small agricultural city located in California’s San Joaquin Valley.
  • C. Huron
    Huron is an Iroquoian language historically spoken by the Wyandot (Huron) people of the Great Lakes region in North America.
  • D. Huron
    Huron was one of the individual nuclear detonations conducted during the United States’ 1956 Operation Redwing test series in the Pacific Proving Grounds.
  • E. Lac Inférieur
    Lac Inférieur is a man-made lake in Paris’s Bois de Boulogne, popular for boating and leisure activities amid wooded parkland.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b0e79c8190bd61f22ef1329fa8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6768f86448190842389a98b93a918 completed April 20, 2026, 6:55 p.m.
Created at: April 16, 2026, 10:40 a.m.