Triple

T17550234
Position Surface form Disambiguated ID Type / Status
Subject Théâtre National Populaire E427439 entity
Predicate subsidizedBy P67 FINISHED
Object City of Villeurbanne 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: City of Villeurbanne | Statement: [Théâtre National Populaire, subsidizedBy, City of Villeurbanne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Villeurbanne
Context triple: [Théâtre National Populaire, subsidizedBy, City of Villeurbanne]
  • A. Villeurbanne chosen
    Villeurbanne is a major suburban city adjacent to Lyon in eastern France, known for its dense urban character and role as part of the Lyon metropolitan area.
  • B. Firminy
    Firminy is a commune in central France known for its notable modernist architecture, including works by Le Corbusier such as the Maison de la Culture.
  • C. Vénissieux
    Vénissieux is a suburban commune in eastern France that forms part of the urban area of Lyon and is known for its industrial heritage and diverse population.
  • D. Vaulx-en-Velin
    Vaulx-en-Velin is a suburban commune in eastern France located just northeast of Lyon, known for its large housing estates and diverse population.
  • E. Saint-Priest
    Saint-Priest is a suburban commune in eastern France that forms part of the metropolitan area of Lyon.
  • 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_69d889df6dc081908f67dbadc03c07ee completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e454656dc08190bba85b93bd07b0a2 completed April 19, 2026, 4:04 a.m.
Created at: April 10, 2026, 5:50 a.m.