Triple

T1684830
Position Surface form Disambiguated ID Type / Status
Subject 7th Avenue (53rd Street Line) E36418 entity
Predicate servedByLine P1293 FINISHED
Object B
B is a New York City Subway service that runs on the IND Sixth Avenue Line, providing local and express service through Manhattan and Brooklyn.
 E190122 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: B | Statement: [7th Avenue (53rd Street Line), servedByLine, B]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: B
Context triple: [7th Avenue (53rd Street Line), servedByLine, B]
  • A. B
    B is the designation of one of the main lines of the Paris RER commuter rail network, serving a major north–south axis through the Île-de-France region.
  • B. B
    B is the vehicle registration code used on license plates for Berlin, Germany.
  • C. B
    B is an early systems programming language developed at Bell Labs that served as a direct precursor to the C programming language.
  • D. BC
    BC is a private Jesuit research university located in Chestnut Hill, Massachusetts, known for its strong liberal arts programs and competitive NCAA Division I athletics.
  • E. BC
    BC is the Canadian province of British Columbia, located on the west coast of Canada with Vancouver as its largest city.
  • 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: B
Triple: [7th Avenue (53rd Street Line), servedByLine, B]
Generated description
B is a New York City Subway service that runs on the IND Sixth Avenue Line, providing local and express service through Manhattan and Brooklyn.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: B
Target entity description: B is a New York City Subway service that runs on the IND Sixth Avenue Line, providing local and express service through Manhattan and Brooklyn.
  • A. B
    B is the designation of one of the main lines of the Paris RER commuter rail network, serving a major north–south axis through the Île-de-France region.
  • B. B
    B is the vehicle registration code used on license plates for Berlin, Germany.
  • C. B
    B is an early systems programming language developed at Bell Labs that served as a direct precursor to the C programming language.
  • D. BC
    BC is the Canadian province of British Columbia, located on the west coast of Canada with Vancouver as its largest city.
  • E. BC
    BC is a private Jesuit research university located in Chestnut Hill, Massachusetts, known for its strong liberal arts programs and competitive NCAA Division I athletics.
  • 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_69a886151508819084fa7f1ce6e05577 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa627c29548190b60ee3bc744069a0 completed March 6, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad71c1b4308190b04fed7ce752b67c completed March 8, 2026, 12:55 p.m.
NEDg Description generation batch_69ad724651e08190a77519ad21c64b23 completed March 8, 2026, 12:57 p.m.
NED2 Entity disambiguation (via description) batch_69ad72c405b081909bff8bf621e9baec completed March 8, 2026, 12:59 p.m.
Created at: March 4, 2026, 7:29 p.m.