Triple

T11091
Position Surface form Disambiguated ID Type / Status
Subject Washington Metro E225 entity
Predicate connectsTo P845 FINISHED
Object Amtrak E1072 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 | Statement: [Washington Metro, connectsTo, Amtrak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amtrak
Context triple: [Washington Metro, connectsTo, Amtrak]
  • A. Amtrak chosen
    Amtrak is the United States’ national passenger railroad service, operating intercity and long-distance trains across much of the country.
  • B. 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.
  • C. BNSF Railway
    BNSF Railway is one of the largest freight railroad networks in North America, operating an extensive system that spans the United States and parts of Canada and Mexico.
  • D. Union Pacific Railroad
    Union Pacific Railroad is one of the largest freight rail networks in the United States, operating an extensive system that spans the western two-thirds of the country.
  • E. 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.
  • 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_69a23d7ad88c8190bffe8ab091d86642 completed Feb. 28, 2026, 12:57 a.m.
NER Named-entity recognition batch_69a2465b2cf881908bf61c461e04cf6a completed Feb. 28, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69a262364cf48190b390bab67cee9312 completed Feb. 28, 2026, 3:34 a.m.
Created at: Feb. 28, 2026, 1:02 a.m.