Triple

T1003230
Position Surface form Disambiguated ID Type / Status
Subject Coast Starlight E21649 entity
Predicate locomotiveTypeUsed P1305 FINISHED
Object GE P42DC E35287 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: GE P42DC | Statement: [Coast Starlight, locomotiveTypeUsed, GE P42DC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GE P42DC
Context triple: [Coast Starlight, locomotiveTypeUsed, GE P42DC]
  • A. GE P42DC chosen
    The GE P42DC is a diesel-electric passenger locomotive built by General Electric, widely used by Amtrak across the United States for long-distance and intercity services.
  • B. Daewoo G2X
    The Daewoo G2X is a South Korean two-seat roadster sports car based on GM’s Kappa platform, closely related to the Saturn Sky and Opel GT.
  • C. GE
    GE is the ISO 3166-1 alpha-2 country code for Georgia, a nation at the crossroads of Eastern Europe and Western Asia.
  • D. Gaggenau
    Gaggenau is a town in the state of Baden-Württemberg in southwestern Germany, located in the Murg Valley near the Black Forest.
  • E. Panasonic
    Panasonic is a major Japanese multinational electronics company known for its wide range of consumer electronics, home appliances, and industrial solutions.
  • 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_69a493c53e648190ae8cb76c433fd9a7 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4fe0a548190aee8abf1890e141e completed March 1, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac2a1ecddc8190b954d16c6e269498 completed March 7, 2026, 1:37 p.m.
Created at: March 1, 2026, 7:41 p.m.