Triple

T10771774
Position Surface form Disambiguated ID Type / Status
Subject Verdi Square E254096 entity
Predicate servedBy P82 FINISHED
Object 2 train E10571 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: 2 train | Statement: [Verdi Square, servedBy, 2 train]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 2 train
Context triple: [Verdi Square, servedBy, 2 train]
  • A. 2 train chosen
    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.
  • B. 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.
  • 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. 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.
  • 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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d7329a281081909cdc4b971cf69207 completed April 9, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69de23798af48190874d7e12c5155913 completed April 14, 2026, 11:22 a.m.
Created at: April 8, 2026, 9:16 p.m.