Triple

T10104386
Position Surface form Disambiguated ID Type / Status
Subject Silver Service E216280 entity
Predicate typicalLocomotive P5426 FINISHED
Object Siemens ACS-64 E61008 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 ACS-64 | Statement: [Silver Service, typicalLocomotive, Siemens ACS-64]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siemens ACS-64
Context triple: [Silver Service, typicalLocomotive, Siemens ACS-64]
  • A. Siemens ACS-64 chosen
    The Siemens ACS-64 is a high-speed, electric locomotive used by Amtrak for passenger rail service in the United States.
  • B. Siemens Vectron
    Siemens Vectron is a modular family of electric and diesel-electric locomotives designed for versatile passenger and freight operations across European rail networks.
  • C. Bombardier TRAXX
    Bombardier TRAXX is a family of modular electric and diesel-electric locomotives widely used for passenger and freight services across Europe.
  • D. Siemens Desiro
    Siemens Desiro is a family of modern diesel and electric multiple-unit trains widely used for regional and commuter rail services across Europe and beyond.
  • E. Comeng EMU
    The Comeng EMU is a long-serving class of electric multiple unit trains used on Melbourne's suburban rail network.
  • 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_69ca83d039f08190b9d10363221c69fb completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cdd09c961081909848acec4438c300 completed April 2, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cbf9ffb88190a87833d6fe080950 completed April 5, 2026, 8:54 p.m.
Created at: March 30, 2026, 9:03 p.m.