Triple

T6863675
Position Surface form Disambiguated ID Type / Status
Subject Craigieburn line E158342 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: [Craigieburn line, rollingStock, X’Trapolis EMU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: X’Trapolis EMU
Context triple: [Craigieburn 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. Comeng EMU
    The Comeng EMU is a long-serving class of electric multiple unit trains used on Melbourne's suburban rail network.
  • D. X60 EMU
    The X60 EMU is a modern electric multiple unit train used for high-capacity commuter services in the Stockholm region.
  • E. 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.
  • 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_69c7428b2fe88190ac1798922e2b9620 completed March 28, 2026, 2:52 a.m.
Created at: March 27, 2026, 2:21 p.m.