Triple

T12337098
Position Surface form Disambiguated ID Type / Status
Subject Rue Saint-Honoré E294114 entity
Predicate transportConnection P1298 FINISHED
Object Concorde metro station E472999 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: Concorde metro station | Statement: [Rue Saint-Honoré, transportConnection, Concorde metro station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Concorde metro station
Context triple: [Rue Saint-Honoré, transportConnection, Concorde metro station]
  • A. Concorde metro station chosen
    Concorde metro station is a Paris Métro station in central Paris, located near Place de la Concorde and serving as an interchange between several key metro lines.
  • B. Jean-Drapeau station
    Jean-Drapeau station is a Montreal Metro station on Île Sainte-Hélène that serves Parc Jean-Drapeau and nearby attractions such as the La Ronde amusement park.
  • C. Georges-Vanier metro station
    Georges-Vanier metro station is a Montreal Metro station named in honor of former Governor General of Canada Georges Vanier.
  • D. Côte-des-Neiges station
    Côte-des-Neiges station is a Montreal Metro station serving the Côte-des-Neiges–Notre-Dame-de-Grâce borough on the city’s Blue Line.
  • E. Berri-UQAM station
    Berri-UQAM station is one of Montreal’s busiest metro hubs, serving as a major interchange for multiple subway lines in the city’s downtown core.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f6683e881908920e1fee02a14e3 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62aa5f21c8190bcb32a078a2f7ebb completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:53 p.m.