Triple

T10074933
Position Surface form Disambiguated ID Type / Status
Subject Broad Street (BMT Nassau Street Line) E213725 entity
Predicate stationCode P1289 FINISHED
Object R27
R27 is the internal station code used by the New York City Subway for the Broad Street station on the BMT Nassau Street Line.
 E838366 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: R27 | Statement: [Broad Street (BMT Nassau Street Line), stationCode, R27]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: R27
Context triple: [Broad Street (BMT Nassau Street Line), stationCode, R27]
  • A. R37
    R37 is a regional road in South Africa that serves as a key route connecting the town of Lydenburg with other parts of the Mpumalanga and Limpopo provinces.
  • B. R29
    R29 is the internal station code used by the New York City Subway system to identify the 7th Avenue station on the BMT Brighton Line.
  • C. R2
    R2 is the MBTA station code used to identify Ashmont station on Boston's Red Line transit system.
  • D. R70
    R70 is a London bus route that provides public transport connections to and from Hampton and surrounding areas.
  • E. R2000
    The R2000 is a 32-bit MIPS RISC microprocessor that became one of the earliest and most influential commercial implementations of the MIPS architecture in the mid-1980s.
  • 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: R27
Triple: [Broad Street (BMT Nassau Street Line), stationCode, R27]
Generated description
R27 is the internal station code used by the New York City Subway for the Broad Street station on the BMT Nassau Street Line.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: R27
Target entity description: R27 is the internal station code used by the New York City Subway for the Broad Street station on the BMT Nassau Street Line.
  • A. R37
    R37 is a regional road in South Africa that serves as a key route connecting the town of Lydenburg with other parts of the Mpumalanga and Limpopo provinces.
  • B. R29
    R29 is the internal station code used by the New York City Subway system to identify the 7th Avenue station on the BMT Brighton Line.
  • C. R2
    R2 is the MBTA station code used to identify Ashmont station on Boston's Red Line transit system.
  • D. R70
    R70 is a London bus route that provides public transport connections to and from Hampton and surrounding areas.
  • E. R2000
    The R2000 is a 32-bit MIPS RISC microprocessor that became one of the earliest and most influential commercial implementations of the MIPS architecture in the mid-1980s.
  • 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_69ca839add308190b57d53b4ec21f2d0 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd017b8288190a577bd66e4ba66b7 completed April 2, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29abcb72c81908c265f057532ccb7 completed April 5, 2026, 5:24 p.m.
NEDg Description generation batch_69d29b9910448190b148841c85f73501 completed April 5, 2026, 5:27 p.m.
NED2 Entity disambiguation (via description) batch_69d29c285090819093e1a584c1ae9556 completed April 5, 2026, 5:30 p.m.
Created at: March 30, 2026, 8:59 p.m.