Triple

T9269900
Position Surface form Disambiguated ID Type / Status
Subject Talgo 350 E222797 entity
Predicate articulation P17482 FINISHED
Object Talgo articulated coach system E222797 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: Talgo articulated coach system | Statement: [Talgo 350, articulation, Talgo articulated coach system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Talgo articulated coach system
Context triple: [Talgo 350, articulation, Talgo articulated coach system]
  • A. Talgo 350 chosen
    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.
  • B. Renfe Class Civia
    Renfe Class Civia is a family of electric multiple unit commuter trains operated by Spain’s national railway company for suburban and regional passenger services.
  • C. Renfe 447 series
    The Renfe 447 series is a class of electric multiple unit commuter trains widely used across Spain’s suburban rail networks.
  • D. Renfe 446 series
    The Renfe 446 series is a class of electric multiple unit commuter trains used extensively in Spain’s Cercanías suburban rail services.
  • E. X'Trapolis EMU
    The X'Trapolis EMU is a modern electric multiple unit train used for suburban passenger services on Melbourne’s metropolitan rail network.
  • 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_69ca841ffe208190aa7bcffbef2f8379 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd078525308190abfb883123742d3f completed April 1, 2026, 11:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09c2239a08190b954c8c57ced8fd2 completed April 4, 2026, 5:05 a.m.
Created at: March 30, 2026, 7:33 p.m.