Triple

T21013962
Position Surface form Disambiguated ID Type / Status
Subject Spanish AVE E517620 entity
Predicate rollingStock P1305 FINISHED
Object Series 102 trainset — NE NERFINISHED

How this triple was built (3 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: Series 102 trainset | Statement: [Spanish AVE, rollingStock, Series 102 trainset]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Series 102 trainset
Context triple: [Spanish AVE, rollingStock, Series 102 trainset]
  • A. Series 100 trainsets
    Series 100 trainsets are Spain’s first-generation high-speed trains, derived from the French TGV design and used by Renfe for AVE services.
  • B. Series 112 trainsets
    Series 112 trainsets are Spanish high-speed electric multiple units built for Renfe, designed for long-distance AVE services at speeds of up to around 300 km/h.
  • C. M100 series trains
    The M100 series trains are the original electric multiple units that have operated on the Helsinki Metro since its opening, known for their robust design and long service life.
  • D. 103 series EMU
    The 103 series EMU is a Japanese commuter electric multiple unit train type that served extensively in urban areas such as Tokyo and Osaka from the 1960s, becoming one of Japan National Railways' most iconic and long-lived train series.
  • E. NM-02 trains
    NM-02 trains are a model of electric multiple-unit metro cars used on Mexico City Metro’s Line 3, designed for high-capacity urban passenger service.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Series 102 trainset
Target entity description: The Series 102 trainset is a high-speed electric multiple unit used by Spain’s AVE network, known for its streamlined “duck-bill” nose and operation on key routes such as Madrid–Barcelona.
  • A. Series 100 trainsets
    Series 100 trainsets are Spain’s first-generation high-speed trains, derived from the French TGV design and used by Renfe for AVE services.
  • B. Series 112 trainsets
    Series 112 trainsets are Spanish high-speed electric multiple units built for Renfe, designed for long-distance AVE services at speeds of up to around 300 km/h.
  • C. M100 series trains
    The M100 series trains are the original electric multiple units that have operated on the Helsinki Metro since its opening, known for their robust design and long service life.
  • D. 103 series EMU
    The 103 series EMU is a Japanese commuter electric multiple unit train type that served extensively in urban areas such as Tokyo and Osaka from the 1960s, becoming one of Japan National Railways' most iconic and long-lived train series.
  • E. NM-02 trains
    NM-02 trains are a model of electric multiple-unit metro cars used on Mexico City Metro’s Line 3, designed for high-capacity urban passenger service.
  • F. None of above. chosen

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_69e0b50192308190a284fcc89dd23a49 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc5764188190829de6f5abd6e00f completed April 21, 2026, 4:25 a.m.
Created at: April 16, 2026, 1:54 p.m.