Triple

T4551726
Position Surface form Disambiguated ID Type / Status
Subject 116th Street station (Lenox Avenue Line) E120379 entity
Predicate division P889 FINISHED
Object IRT E63229 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: IRT | Statement: [116th Street station (Lenox Avenue Line), division, IRT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IRT
Context triple: [116th Street station (Lenox Avenue Line), division, IRT]
  • A. IRT chosen
    IRT is a major division of the New York City Subway system that operates the numbered (1–7) train lines, originally built by the Interborough Rapid Transit Company.
  • B. IR
    IR is the IATA airline designator assigned to Iran Air, the national flag carrier of Iran.
  • C. IER
    IER is a division of the U.S. Department of Justice that enforces federal laws protecting immigrants and other workers from employment discrimination based on citizenship or immigration status and national origin.
  • D. ITH
    ITH is the three-letter IATA airport code for Ithaca Tompkins International Airport serving the Ithaca, New York area.
  • E. IST
    IST is the Graduate School of Information Science and Technology at the University of Tokyo, a leading institution for advanced research and education in information science, computer science, and related fields.
  • 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_69bd4636f1648190a701445c2fcd9c17 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd57f7b9748190af29d02fc77b02e0 completed March 20, 2026, 2:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdb954393c8190b6ff6a5faa129d09 completed March 20, 2026, 9:17 p.m.
Created at: March 20, 2026, 1:09 p.m.