Triple

T23354338
Position Surface form Disambiguated ID Type / Status
Subject Valencia Joaquín Sorolla railway station E593003 entity
Predicate service P4690 FINISHED
Object Alvia 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: Alvia | Statement: [Valencia Joaquín Sorolla railway station, service, Alvia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alvia
Context triple: [Valencia Joaquín Sorolla railway station, service, Alvia]
  • A. Alvia chosen
    Alvia is a Spanish long-distance high-speed train service operated by Renfe that connects major cities using both high-speed and conventional rail lines.
  • B. Aventra
    Aventra is a family of modern electric multiple-unit trains designed and built by Bombardier Transportation (now Alstom) for use on the UK rail network.
  • C. Voyager trains
    Voyager trains are a family of high-speed diesel-electric multiple unit passenger trains widely used on intercity services in the UK rail network.
  • D. Renfe Avant
    Renfe Avant is a Spanish high-speed rail service focused on medium-distance routes, offering fast connections between nearby cities.
  • E. Talgo 350
    The Talgo 350 is a high-speed electric train developed by Spanish manufacturer Talgo, designed for very fast intercity services and widely used on premium high-speed rail lines.
  • 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_69e25d24d2a4819092e6ede74c2a918d completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19a169bb88190a2ca659fce1133e5 completed April 29, 2026, 5:41 a.m.
Created at: April 17, 2026, 5:20 p.m.