Triple

T17962923
Position Surface form Disambiguated ID Type / Status
Subject Union Square E449127 entity
Predicate servedBySubwayLine P17559 FINISHED
Object 4 train E11246 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: 4 train | Statement: [Union Square, servedBySubwayLine, 4 train]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 4 train
Context triple: [Union Square, servedBySubwayLine, 4 train]
  • A. 4 train chosen
    The 4 train is a New York City Subway service that runs along the Lexington Avenue Line in Manhattan, providing express service between the Bronx and Brooklyn.
  • B. 3 train
    The 3 train is a New York City Subway service that runs on the IRT Lenox Avenue and Eastern Parkway Lines, connecting Manhattan and Brooklyn.
  • C. 5 train
    The 5 train is a New York City Subway service that runs primarily along the IRT Lexington Avenue Line in Manhattan and the Eastern Parkway and Dyre Avenue lines in the Bronx, providing both local and express service.
  • D. Train 4
    Train 4 is an additional liquefied natural gas production unit at the Yamal LNG project in Russia, designed to expand the facility’s overall LNG output capacity.
  • E. 6 train
    The 6 train is a local New York City Subway service running along the Lexington Avenue Line in Manhattan and into the Bronx.
  • 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_69d8b9f8cca8819099836916c56b7c95 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4b134bc68819097cc199ea8e80f6c completed April 19, 2026, 10:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a03300dae988190ab1b9f0e40e96fe5 completed May 12, 2026, 1:50 p.m.
Created at: April 10, 2026, 10:22 a.m.