Triple

T20001682
Position Surface form Disambiguated ID Type / Status
Subject Charpennes E494344 entity
Predicate servedBy P82 FINISHED
Object Lyon Metro 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: Lyon Metro | Statement: [Charpennes, servedBy, Lyon Metro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lyon Metro
Context triple: [Charpennes, servedBy, Lyon Metro]
  • A. Lyon Metro chosen
    Lyon Metro is the rapid transit system serving the French city of Lyon and its suburbs, known for its rubber-tyred lines and integration with the city’s broader public transport network.
  • B. Lyon tramway network
    The Lyon tramway network is a modern urban light rail system serving the city of Lyon and its suburbs, complementing the metro and bus networks with multiple tram lines across the metropolitan area.
  • C. Marseille metro
    The Marseille metro is the rapid transit system serving the city of Marseille, France, providing underground rail connections across key urban areas.
  • D. Lyon Metro Line B
    Lyon Metro Line B is a major north–south rapid transit line in Lyon’s metro system, connecting key districts and transport hubs including the Part-Dieu business district and railway station.
  • E. Lyon Metro line A
    Lyon Metro line A is one of the main lines of the Lyon rapid transit system in France, running east–west through the city center and connecting key districts and transport hubs.
  • 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e661a222908190b88e1d11cb1b7ee3 completed April 20, 2026, 5:25 p.m.
Created at: April 11, 2026, 3:32 p.m.