Triple

T3782463
Position Surface form Disambiguated ID Type / Status
Subject Montreal Metro E85450 entity
Predicate terminusStation P15150 FINISHED
Object Honoré-Beaugrand E525919 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: Honoré-Beaugrand | Statement: [Montreal Metro, terminusStation, Honoré-Beaugrand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Honoré-Beaugrand
Context triple: [Montreal Metro, terminusStation, Honoré-Beaugrand]
  • A. Honoré Beaugrand chosen
    Honoré Beaugrand was a Canadian journalist, author, and politician best known as the mayor of Montreal and for his contributions to French-Canadian literature and folklore.
  • B. Henri Lebasque
    Henri Lebasque was a French post-impressionist painter known for his luminous use of color and intimate domestic and landscape scenes.
  • C. Honoré
    Honoré is the given name of the renowned 19th-century French novelist and playwright Honoré de Balzac.
  • D. Hugues Aubriot
    Hugues Aubriot was a 14th-century French royal official and provost of Paris best known for overseeing the construction of the Bastille fortress.
  • E. Henri-Jacques Espérandieu
    Henri-Jacques Espérandieu was a 19th-century French architect known for his major contributions to the architectural landscape of Marseille, particularly its prominent religious and civic monuments.
  • 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_69aed937fa8881908208ef3801060826 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee3db11108190aa81ee8ed22709fe completed March 9, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1132b29ac819086654ae935e819ef completed March 23, 2026, 10:17 a.m.
Created at: March 9, 2026, 3:13 p.m.