Triple

T15528019
Position Surface form Disambiguated ID Type / Status
Subject Spanish railway network E369132 entity
Predicate includesSubsystem P25619 FINISHED
Object Cercanías Valencia E582703 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: Cercanías Valencia | Statement: [Spanish railway network, includesSubsystem, Cercanías Valencia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cercanías Valencia
Context triple: [Spanish railway network, includesSubsystem, Cercanías Valencia]
  • A. Seville commuter rail
    Seville commuter rail is a regional rail network serving the metropolitan area of Seville, Spain, connecting the city with its surrounding suburbs and towns.
  • B. Cercanías chosen
    Cercanías is Spain’s network of suburban and commuter rail services that connect major cities with their surrounding metropolitan areas.
  • C. Valencia Metro
    Valencia Metro is the rapid transit system serving the city of Valencia and its metropolitan area in Spain.
  • D. Valencia Metro
    Valencia Metro is the rapid transit system serving the city of Valencia in Venezuela, providing urban rail transportation across key areas of the metropolitan region.
  • E. Valencia tram network
    The Valencia tram network is a light rail system serving the city of Valencia and its coastal districts, providing urban and suburban public transport connections including access to the Poblats Marítims area.
  • 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0414620588190958ffde651ccab5f completed April 16, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff45549e4881908ab0769e49ba5dc4 completed May 9, 2026, 2:31 p.m.
Created at: April 10, 2026, 4:05 a.m.