Triple

T15831205
Position Surface form Disambiguated ID Type / Status
Subject Lyon bus network E383874 entity
Predicate hasServiceArea P82 FINISHED
Object Oullins E305675 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: Oullins | Statement: [Lyon bus network, hasServiceArea, Oullins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oullins
Context triple: [Lyon bus network, hasServiceArea, Oullins]
  • A. Oullins chosen
    Oullins is a suburban commune in eastern France located just southwest of Lyon in the Rhône department.
  • B. Chevroux
    Chevroux is a small Swiss municipality located on the southern shore of Lake Neuchâtel in the canton of Vaud.
  • C. Villeray
    Villeray is a residential neighborhood in Montreal, Quebec, known for its diverse population, local shops, and proximity to Jarry Park.
  • D. Yerres
    Yerres is a suburban commune in the Île-de-France region of northern France, known for its picturesque riverside landscapes that inspired Impressionist painters.
  • E. Loison
    Loison is a small river in northeastern France that serves as a tributary of the Chiers.
  • 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e11e6433ac8190a3d3e0d573673ea3 completed April 16, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff999f9ccc8190bc859c2b78a16baf completed May 9, 2026, 8:31 p.m.
Created at: April 10, 2026, 4:49 a.m.