Triple

T23296238
Position Surface form Disambiguated ID Type / Status
Subject AVE E590178 entity
Predicate rollingStock P1305 FINISHED
Object Series 103 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 103 | Statement: [AVE, rollingStock, Series 103]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Series 103
Context triple: [AVE, rollingStock, Series 103]
  • A. Series 102
    Series 102 is a class of high-speed electric multiple unit trains used on Spain’s AVE network, derived from the Talgo 350 design.
  • B. Series 130
    Series 130 is a class of high-speed tilting trains operated in Spain, designed for both conventional and high-speed rail lines under the AVE network.
  • C. Series 112
    Series 112 is a class of high-speed electric multiple unit trains used by Spain’s AVE network for long-distance passenger services.
  • D. Series 30
    Series 30 is a basic mobile phone software platform developed by Nokia for its entry-level feature phones, providing a simple user interface and core telephony functions.
  • E. Serie 3
    Serie 3 is a variant family of the C.205 aircraft, representing a specific series or configuration within that model line.
  • 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 103
Target entity description: Series 103 is a class of high-speed electric multiple unit trains used on Spain’s AVE network.
  • A. Series 102
    Series 102 is a class of high-speed electric multiple unit trains used on Spain’s AVE network, derived from the Talgo 350 design.
  • B. Series 130
    Series 130 is a class of high-speed tilting trains operated in Spain, designed for both conventional and high-speed rail lines under the AVE network.
  • C. Series 112
    Series 112 is a class of high-speed electric multiple unit trains used by Spain’s AVE network for long-distance passenger services.
  • D. Series 30
    Series 30 is a basic mobile phone software platform developed by Nokia for its entry-level feature phones, providing a simple user interface and core telephony functions.
  • E. Serie 3
    Serie 3 is a variant family of the C.205 aircraft, representing a specific series or configuration within that model line.
  • 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_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.