Triple

T12050217
Position Surface form Disambiguated ID Type / Status
Subject Line 4–Yellow E286895 entity
Predicate rollingStock P1305 FINISHED
Object Alstom Metropolis trains E262773 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: Alstom Metropolis trains | Statement: [Line 4–Yellow, rollingStock, Alstom Metropolis trains]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alstom Metropolis trains
Context triple: [Line 4–Yellow, rollingStock, Alstom Metropolis trains]
  • A. Alstom Eurotram
    The Alstom Eurotram is a distinctive low-floor light rail vehicle known for its sleek, modern design and panoramic windows, widely used on urban tram networks in Europe.
  • B. Alstom Metropolis chosen
    Alstom Metropolis is a family of modern, high-capacity metro trains manufactured by Alstom and used in urban rapid transit systems worldwide.
  • C. 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.
  • D. Alstom Citadis tram
    The Alstom Citadis tram is a family of modern low-floor light rail vehicles widely used in urban tram networks around the world.
  • E. Alstom multiple units
    Alstom multiple units are self-propelled passenger train sets manufactured by Alstom for use in various urban and regional rail systems worldwide.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d904227958819084dbd5eb2566c735 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49dd140a48190844f64c228e6367a completed May 1, 2026, 12:34 p.m.
Created at: April 8, 2026, 9:47 p.m.