Triple

T10541140
Position Surface form Disambiguated ID Type / Status
Subject TGV Ouigo E248696 entity
Predicate brandExtension P6092 FINISHED
Object Ouigo España E753004 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: Ouigo España | Statement: [TGV Ouigo, brandExtension, Ouigo España]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ouigo España
Context triple: [TGV Ouigo, brandExtension, Ouigo España]
  • A. OUIGO España chosen
    OUIGO España is a low-cost high-speed rail operator in Spain that runs budget-friendly AVE services on major routes such as Madrid–Barcelona and Madrid–Valencia.
  • B. Renfe Alvia
    Renfe Alvia is a Spanish long-distance high-speed train service operated by Renfe that combines standard and variable-gauge rolling stock to connect major cities across both high-speed and conventional rail lines.
  • C. Ouigo
    Ouigo is a low-cost high-speed train service operated by France's SNCF, offering budget TGV travel with simplified onboard services.
  • D. Adif
    Adif is Spain’s state-owned railway infrastructure manager responsible for the construction, maintenance, and operation of most of the country’s rail network and stations.
  • E. Atocha Renfe
    Atocha Renfe is a major Madrid Metro station that serves the Atocha railway complex, providing a key interchange between urban rail, commuter trains, and long-distance services.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50a5918648190b16c2d1bc1bf015f completed April 7, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69d9341d96c08190a6ba644b9acfe2c8 completed April 10, 2026, 5:32 p.m.
Created at: April 6, 2026, 12:32 p.m.