Triple

T22744276
Position Surface form Disambiguated ID Type / Status
Subject Barcelona Metro Line 2 E562504 entity
Predicate hasStation P35 FINISHED
Object Clot station 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: Clot station | Statement: [Barcelona Metro Line 2, hasStation, Clot station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clot station
Context triple: [Barcelona Metro Line 2, hasStation, Clot station]
  • A. Clot station chosen
    Clot station is a Barcelona Metro and commuter rail interchange station serving the Clot neighborhood in the Sant Martí district of Barcelona, Spain.
  • B. Ouest station
    Ouest station is a metro station on the Charleroi Metro network in Charleroi, Belgium.
  • C. Bonaventure station
    Bonaventure station is a major Montreal Metro station in downtown Montreal, Quebec, serving as an important transit hub near key commercial and entertainment venues.
  • D. Fabre station
    Fabre station is a Montreal Metro station on the Blue Line serving the Rosemont–La Petite-Patrie borough.
  • E. Chardon-Lagache station
    Chardon-Lagache station is a Paris Métro station in the 16th arrondissement, serving the residential Auteuil area.
  • 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_69e245513a5c81908d5cb471b4fc429d completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1797590f08190a784f73fcd27b101 completed April 29, 2026, 3:22 a.m.
Created at: April 17, 2026, 3:23 p.m.