Triple

T4241860
Position Surface form Disambiguated ID Type / Status
Subject Amtrak Midwest services E95431 entity
Predicate usesLocomotiveType P1305 FINISHED
Object Siemens Charger E39515 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: Siemens Charger | Statement: [Amtrak Midwest services, usesLocomotiveType, Siemens Charger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siemens Charger
Context triple: [Amtrak Midwest services, usesLocomotiveType, Siemens Charger]
  • A. Siemens Charger chosen
    The Siemens Charger is a family of modern diesel-electric passenger locomotives widely used across North America for intercity and commuter rail services.
  • B. Siemens Inspiro
    Siemens Inspiro is a modern, modular metro train platform developed by Siemens for urban rapid transit systems worldwide.
  • C. Siemens SD-160
    The Siemens SD-160 is a high-floor light rail vehicle widely used in North American transit systems, including Calgary’s CTrain, known for its modular design and reliable urban service.
  • D. Siemens Combino
    Siemens Combino is a low-floor modular tram family widely used in urban public transport systems around the world.
  • E. Siemens Avanto
    Siemens Avanto is a family of light rail and tram-train vehicles developed by Siemens for urban and regional public transport systems.
  • 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_69b3453d91548190b4d4ef8fe52aa2ac completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e891bc08190831187da4f553f48 completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b779a93081909af1abdf664f040f completed March 14, 2026, 7:31 p.m.
Created at: March 12, 2026, 11:05 p.m.