Triple

T15995017
Position Surface form Disambiguated ID Type / Status
Subject Hénon metro station E387939 entity
Predicate locatedIn P40 FINISHED
Object La Croix-Rousse E79036 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: La Croix-Rousse | Statement: [Hénon metro station, locatedIn, La Croix-Rousse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Croix-Rousse
Context triple: [Hénon metro station, locatedIn, La Croix-Rousse]
  • A. La Croix-Rousse chosen
    La Croix-Rousse is a historic hilltop district in Lyon, France, known for its silk-weaving heritage, steep slopes, and distinctive village-like atmosphere.
  • B. Quartier Part-Dieu
    Quartier Part-Dieu is Lyon’s main business district, known for its high-rise offices, major shopping center, and one of France’s busiest railway stations.
  • C. Quartier Croulebarbe
    Quartier Croulebarbe is a residential neighborhood in the 13th arrondissement of Paris known for its mix of historic industrial sites, green spaces, and traditional Parisian streets.
  • D. Montmartre
    Montmartre is a historic hilltop district in Paris known for its artistic heritage, bohemian atmosphere, and panoramic views over the city.
  • E. Le Panier district
    Le Panier district is Marseille’s oldest neighborhood, known for its narrow streets, colorful facades, and vibrant mix of historic charm, street art, and local cafés.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15785fad48190af0556e7ddfd29c5 completed April 16, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00077a54c88190ab94a558bfaecf2f completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 4:55 a.m.