Triple

T17550357
Position Surface form Disambiguated ID Type / Status
Subject T6 (Lyon tram line) E427443 entity
Predicate serves P98 FINISHED
Object Vénissieux 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: Vénissieux | Statement: [T6 (Lyon tram line), serves, Vénissieux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vénissieux
Context triple: [T6 (Lyon tram line), serves, Vénissieux]
  • A. Vénissieux chosen
    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.
  • B. Villefranche-sur-Saône
    Villefranche-sur-Saône is a commune in eastern France that serves as the principal town of the Beaujolais region and a key urban center north of Lyon.
  • C. Bourg-en-Bresse
    Bourg-en-Bresse is a historic town in eastern France known as the capital of the Ain department, noted for its Renaissance architecture and the royal monastery of Brou.
  • D. Écully
    Écully is a suburban commune in eastern France, located just west of Lyon and known for hosting prestigious institutions such as the École Centrale de Lyon and the Paul Bocuse Institute.
  • E. Chalon-sur-Saône
    Chalon-sur-Saône is a historic city in eastern France’s Burgundy region, known as a former important river port and for its rich architectural and cultural heritage.
  • 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.