Triple

T16618465
Position Surface form Disambiguated ID Type / Status
Subject Upfield railway line E403755 entity
Predicate usesRollingStock P5426 FINISHED
Object Comeng EMU E606704 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: Comeng EMU | Statement: [Upfield railway line, usesRollingStock, Comeng EMU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Comeng EMU
Context triple: [Upfield railway line, usesRollingStock, Comeng EMU]
  • A. Comeng EMU chosen
    The Comeng EMU is a long-serving class of electric multiple unit trains used on Melbourne's suburban 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. Hitachi EMU
    Hitachi EMU is a type of electric multiple unit train manufactured by Hitachi, used for urban mass rapid transit services.
  • D. Class 455 EMU
    The Class 455 EMU is a type of British electric multiple unit train introduced in the early 1980s for suburban commuter services in the South East of England.
  • E. X60 EMU
    The X60 EMU is a modern electric multiple unit train used for high-capacity commuter services in the Stockholm region.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3754bc4cc8190a586732fc6507b40 completed April 18, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007db0b4348190beb573bc3df98125 completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:17 a.m.