Triple

T4206179
Position Surface form Disambiguated ID Type / Status
Subject Coney Island Yard E93785 entity
Predicate servesTrainService P6301 FINISHED
Object Q service
The Q service is a New York City Subway line that runs through Brooklyn and Manhattan, providing local and express transit along the BMT Brighton and Broadway lines.
 E419864 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: Q service | Statement: [Coney Island Yard, servesTrainService, Q service]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Q service
Context triple: [Coney Island Yard, servesTrainService, Q service]
  • A. Q’s
    Q’s is the nickname commonly used for the former American Basketball Association team the San Diego Conquistadors.
  • B. QA
    QA is the station code for Quincy Adams, a Massachusetts Bay Transportation Authority (MBTA) rapid transit station on Boston’s Red Line.
  • C. QA
    QA is the two-letter ISO 3166-1 alpha-2 country code assigned to Qatar for international standardization and identification.
  • D. QQS
    QQS is the IATA station code for London St Pancras International, a major central London railway terminus and international high-speed rail hub.
  • E. QQS
    QQS is the IATA airport code for the Shuttle Landing Facility at NASA’s Kennedy Space Center in Florida, historically used for Space Shuttle landings.
  • 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: Q service
Triple: [Coney Island Yard, servesTrainService, Q service]
Generated description
The Q service is a New York City Subway line that runs through Brooklyn and Manhattan, providing local and express transit along the BMT Brighton and Broadway lines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Q service
Target entity description: The Q service is a New York City Subway line that runs through Brooklyn and Manhattan, providing local and express transit along the BMT Brighton and Broadway lines.
  • A. Q’s
    Q’s is the nickname commonly used for the former American Basketball Association team the San Diego Conquistadors.
  • B. QA
    QA is the two-letter ISO 3166-1 alpha-2 country code assigned to Qatar for international standardization and identification.
  • C. QA
    QA is the station code for Quincy Adams, a Massachusetts Bay Transportation Authority (MBTA) rapid transit station on Boston’s Red Line.
  • D. QQS
    QQS is the IATA station code for London St Pancras International, a major central London railway terminus and international high-speed rail hub.
  • E. QQS
    QQS is the IATA airport code for the Shuttle Landing Facility at NASA’s Kennedy Space Center in Florida, historically used for Space Shuttle landings.
  • 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_69b3451743608190808f41d17ccf2650 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b34f7d20b48190a404638c68c31026 completed March 12, 2026, 11:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b58a1ae9708190ae0f520b402c7bb5 completed March 14, 2026, 4:17 p.m.
NEDg Description generation batch_69b58b89dd54819095a596fa0361a5db completed March 14, 2026, 4:23 p.m.
NED2 Entity disambiguation (via description) batch_69b58c18fa24819099f122b3a79d1065 completed March 14, 2026, 4:26 p.m.
Created at: March 12, 2026, 11:03 p.m.