Triple

T7183197
Position Surface form Disambiguated ID Type / Status
Subject Lexington Avenue E167501 entity
Predicate servedBySubwayService P10156 FINISHED
Object <6> train E13127 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: <6> train | Statement: [Lexington Avenue, servedBySubwayService, <6> train]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: <6> train
Context triple: [Lexington Avenue, servedBySubwayService, <6> train]
  • A. CTrain
    CTrain is Calgary’s light rail transit system that serves as the backbone of the city’s public transportation network.
  • B. 6 train chosen
    The 6 train is a local New York City Subway service running along the Lexington Avenue Line in Manhattan and into the Bronx.
  • C. 1 train
    The 1 train is a New York City Subway service that runs along the Broadway–Seventh Avenue Line, providing local service between the Bronx and lower Manhattan.
  • D. LeTrainTrain
    LeTrainTrain is a television production company known for producing high-profile scripted series such as the crime drama "Tokyo Vice."
  • E. 2 train
    The 2 train is a New York City Subway service that runs as a numbered, typically express route on the IRT lines, connecting the Bronx, Manhattan, and Brooklyn.
  • 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_69c6888a7c548190a3d39b52a393080f completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e8bd52648190a22412300254e5d4 completed March 27, 2026, 8:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b94390d48190b7443c9c8cc41625 completed March 28, 2026, 11:19 a.m.
Created at: March 27, 2026, 2:49 p.m.