Triple

T23296243
Position Surface form Disambiguated ID Type / Status
Subject AVE E590178 entity
Predicate ticketClass P37972 FINISHED
Object Turista Plus 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: Turista Plus | Statement: [AVE, ticketClass, Turista Plus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Turista Plus
Context triple: [AVE, ticketClass, Turista Plus]
  • A. Turista Plus chosen
    Turista Plus is a premium economy-style seating class on Spain’s AVE high-speed trains, offering more comfort and amenities than standard Turista class.
  • B. Turistas
    Turistas is a 2006 horror thriller film about American backpackers in Brazil who fall victim to an organ-harvesting ring.
  • C. Vy Travel
    Vy Travel is a Norwegian travel company within the Vy Group that operates and sells bus and other transport services.
  • D. Viajero
    Viajero is a Mexican travel and transportation company that operates under the Grupo IAMSA conglomerate, offering services such as bus travel and related mobility solutions.
  • E. United Travel Getaway
    United Travel Getaway was a New Zealand television travel show known for showcasing holiday destinations and experiences to local audiences.
  • 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_69e25d1af9d88190a0b9b5e8fa608618 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f196cec9e88190b83cfd53a6455e0f completed April 29, 2026, 5:27 a.m.
Created at: April 17, 2026, 5:03 p.m.