Triple

T6013821
Position Surface form Disambiguated ID Type / Status
Subject BMT Canarsie Line E133897 entity
Predicate hasRollingStock P1305 FINISHED
Object R211
The R211 is a modern class of New York City Subway cars designed to replace older rolling stock and improve reliability, capacity, and passenger amenities on lines including the BMT Canarsie Line.
 E562656 NE FINISHED

How this triple was built (4 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: R211 | Statement: [BMT Canarsie Line, hasRollingStock, R211]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: R211
Context triple: [BMT Canarsie Line, hasRollingStock, R211]
  • A. R11
    R11 is the internal station code used by the New York City Subway for the Grand Central–42nd Street complex in Midtown Manhattan.
  • B. R-11
    R-11 is a Soviet short-range tactical ballistic missile that formed the basis for the later Scud missile family.
  • C. R-17
    R-17 is the Soviet-designed short-range ballistic missile better known in the West by its NATO reporting name "Scud-B."
  • D. R129
    R129 is the fourth-generation Mercedes-Benz SL roadster, renowned for its advanced safety features, refined engineering, and iconic 1990s luxury grand-touring design.
  • E. R2
    R2 is the MBTA station code used to identify Ashmont station on Boston's Red Line transit system.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: R211
Triple: [BMT Canarsie Line, hasRollingStock, R211]
Generated description
The R211 is a modern class of New York City Subway cars designed to replace older rolling stock and improve reliability, capacity, and passenger amenities on lines including the BMT Canarsie Line.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: R211
Target entity description: The R211 is a modern class of New York City Subway cars designed to replace older rolling stock and improve reliability, capacity, and passenger amenities on lines including the BMT Canarsie Line.
  • A. R11
    R11 is the internal station code used by the New York City Subway for the Grand Central–42nd Street complex in Midtown Manhattan.
  • B. R-11
    R-11 is a Soviet short-range tactical ballistic missile that formed the basis for the later Scud missile family.
  • C. R-17
    R-17 is the Soviet-designed short-range ballistic missile better known in the West by its NATO reporting name "Scud-B."
  • D. R129
    R129 is the fourth-generation Mercedes-Benz SL roadster, renowned for its advanced safety features, refined engineering, and iconic 1990s luxury grand-touring design.
  • E. R2
    R2 is the MBTA station code used to identify Ashmont station on Boston's Red Line transit system.
  • F. None of above. chosen

Provenance (5 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_69c0087361a48190905c6b55969852b8 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f544fd88190b6777c4db04e274f completed March 22, 2026, 8:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c108a7afe88190adeb690f40b2e1e9 completed March 23, 2026, 9:32 a.m.
NEDg Description generation batch_69c10b5816548190b73f19e12cdf8e03 completed March 23, 2026, 9:43 a.m.
NED2 Entity disambiguation (via description) batch_69c10c39fb848190a557278d3cd23560 completed March 23, 2026, 9:47 a.m.
Created at: March 22, 2026, 4:06 p.m.