Triple

T23536249
Position Surface form Disambiguated ID Type / Status
Subject Carrefour Laval E576707 entity
Predicate hasNearbyAttraction P2064 FINISHED
Object Centropolis Laval 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: Centropolis Laval | Statement: [Carrefour Laval, hasNearbyAttraction, Centropolis Laval]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Centropolis Laval
Context triple: [Carrefour Laval, hasNearbyAttraction, Centropolis Laval]
  • A. Ville Saint-Laurent
    Ville Saint-Laurent is a diverse borough in the northwest of Montreal known for its residential neighborhoods, industrial zones, and significant immigrant communities.
  • B. Laval-des-Rapides
    Laval-des-Rapides is a district of the city of Laval, Quebec, known for its dense residential character and proximity to Montreal.
  • C. Pierrefonds
    Pierrefonds is a commune in northern France best known for its impressive medieval-style Château de Pierrefonds and its picturesque setting in the forest of Compiègne.
  • D. Pierrefonds
    Pierrefonds is a residential suburban area on the Island of Montreal in Quebec, Canada, known for its diverse population and proximity to the Rivière des Prairies.
  • E. Laval chosen
    Laval is a large suburban city and island located just north of Montreal in southwestern Quebec, Canada.
  • 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_69e245f5a8848190a2ba42e271c6c31f completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1ae1738bc81909a7b761ddbaa1883 completed April 29, 2026, 7:07 a.m.
Created at: April 17, 2026, 6:10 p.m.