Triple

T21816738
Position Surface form Disambiguated ID Type / Status
Subject Atocha E538622 entity
Predicate servesRailOperator P20222 FINISHED
Object Renfe 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: Renfe | Statement: [Atocha, servesRailOperator, Renfe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Renfe
Context triple: [Atocha, servesRailOperator, 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 Intercity
    Renfe Intercity is a Spanish long-distance rail service operated by Renfe that connects major cities with conventional, non–high-speed trains.
  • C. Renfe Euromed
    Renfe Euromed is a high-speed rail service in Spain operated by Renfe that connects major Mediterranean coastal cities such as Barcelona and Valencia.
  • D. 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.
  • E. 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.
  • 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_69e0c475038c8190abb9b1a20eb8ff50 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f07ccac9f08190b835ee7a40ecf4c2 completed April 28, 2026, 9:24 a.m.
Created at: April 16, 2026, 6:54 p.m.