Triple

T14295264
Position Surface form Disambiguated ID Type / Status
Subject Siemens Velaro E354421 entity
Predicate operator P179 FINISHED
Object Renfe E142030 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: Renfe | Statement: [Siemens Velaro, operator, Renfe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Renfe
Context triple: [Siemens Velaro, operator, Renfe]
  • A. Renfe Operadora chosen
    Renfe Operadora is Spain’s national state-owned railway company, responsible for operating most passenger and freight rail services across the country.
  • B. Renfe Cercanías
    Renfe Cercanías is Spain’s suburban and commuter rail service network, operating frequent regional trains that connect major cities with their surrounding metropolitan areas.
  • C. Renfe Mercancías
    Renfe Mercancías is the freight transport division of Spain’s national railway operator, specializing in the movement of goods by rail across the Iberian Peninsula and beyond.
  • D. Renfe Fabricación y Mantenimiento
    Renfe Fabricación y Mantenimiento is a Spanish company specializing in the construction, overhaul, and technical maintenance of railway rolling stock and related rail systems.
  • E. Euskotren
    Euskotren is the Basque Country’s public railway and tramway company, operating regional trains, metros, and tram services including those in Bilbao.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de717b35ec81908968994e65737c66 completed April 14, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d2281d481909714f8d8cfe71514 completed May 8, 2026, 1:32 a.m.
Created at: April 10, 2026, 1:11 a.m.