Triple

T6863652
Position Surface form Disambiguated ID Type / Status
Subject Upfield line E158341 entity
Predicate rollingStock P1305 FINISHED
Object X'Trapolis EMU E605705 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: X'Trapolis EMU | Statement: [Upfield line, rollingStock, X'Trapolis EMU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: X'Trapolis EMU
Context triple: [Upfield line, rollingStock, X'Trapolis EMU]
  • A. X'Trapolis EMU chosen
    The X'Trapolis EMU is a modern electric multiple unit train used for suburban passenger services on Melbourne’s metropolitan rail network.
  • B. Civia EMU
    Civia EMU is a class of electric multiple unit commuter trains used by Spain’s Renfe for suburban and regional passenger services.
  • C. 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.
  • D. Stadler KISS double-deck EMU
    The Stadler KISS double-deck EMU is a high-capacity, electric multiple-unit commuter train known for its bi-level design, rapid acceleration, and use on regional and suburban rail services in various countries.
  • E. EP2D electric multiple unit
    The EP2D electric multiple unit is a modern Russian commuter train set designed for suburban and urban passenger services, featuring improved energy efficiency, comfort, and accessibility compared to earlier EMU models.
  • 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_69c68830cdbc8190a8301c7a9d9f651a completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8897cf48190a2f688d21f1f6c1a completed March 27, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72ff153d48190a4b0d4e403457fe8 completed March 28, 2026, 1:33 a.m.
Created at: March 27, 2026, 2:21 p.m.