Triple

T137366
Position Surface form Disambiguated ID Type / Status
Subject Northeast Corridor E2775 entity
Predicate usedBy P260 FINISHED
Object Amtrak Acela E20525 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: Amtrak Acela | Statement: [Northeast Corridor, usedBy, Amtrak Acela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amtrak Acela
Context triple: [Northeast Corridor, usedBy, Amtrak Acela]
  • A. Amtrak
    Amtrak is the United States’ national passenger railroad service, operating intercity and long-distance trains across much of the country.
  • B. Acela chosen
    Acela is Amtrak’s high-speed train service in the Northeast Corridor, known for providing the fastest intercity rail travel in the United States between cities like Boston, New York, and Washington, D.C.
  • C. Amtrak Empire Corridor
    The Amtrak Empire Corridor is a major passenger rail route in New York State that connects New York City with Albany and other upstate cities along the Hudson River and beyond.
  • D. MARC Train
    MARC Train is a commuter rail service operating in Maryland and the surrounding region, connecting cities such as Washington, D.C., Baltimore, and Martinsburg.
  • E. Auto Train
    Auto Train is a long-distance Amtrak service that carries both passengers and their vehicles nonstop between the Washington, D.C. area and central Florida.
  • 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_69a2521e35c08190b28e5c9f1e3c9b59 completed Feb. 28, 2026, 2:25 a.m.
NER Named-entity recognition batch_69a257a6cab88190944c8f74d8d1605c completed Feb. 28, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69a30cc33a10819087668612b65e1eb5 completed Feb. 28, 2026, 3:41 p.m.
Created at: Feb. 28, 2026, 2:31 a.m.