Triple

T9816283
Position Surface form Disambiguated ID Type / Status
Subject BMT Archer Avenue Line E238412 entity
Predicate carriesService P17741 FINISHED
Object Z service
The Z service is a New York City Subway rush-hour skip-stop route that operates along the Jamaica Line in Brooklyn and Queens, supplementing the J train.
 E823391 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: Z service | Statement: [BMT Archer Avenue Line, carriesService, Z service]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Z service
Context triple: [BMT Archer Avenue Line, carriesService, Z service]
  • A. ZA
    ZA is the ISO 3166-1 alpha-2 country code for South Africa.
  • B. ZOC
    ZOC is the station code for Zócalo metro station on the Mexico City Metro system.
  • C. ZS
    ZS is the vehicle registration code assigned to cars registered in the Polish city of Szczecin.
  • D. ZS
    ZS is the stock ticker symbol for Zscaler, a cloud-based information security company traded on the NASDAQ.
  • E. Z
    Z is the neutral elementary particle known as the Z boson, a carrier of the weak nuclear force in the Standard Model of particle physics.
  • 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: Z service
Triple: [BMT Archer Avenue Line, carriesService, Z service]
Generated description
The Z service is a New York City Subway rush-hour skip-stop route that operates along the Jamaica Line in Brooklyn and Queens, supplementing the J train.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Z service
Target entity description: The Z service is a New York City Subway rush-hour skip-stop route that operates along the Jamaica Line in Brooklyn and Queens, supplementing the J train.
  • A. ZA
    ZA is the ISO 3166-1 alpha-2 country code for South Africa.
  • B. ZOC
    ZOC is the station code for Zócalo metro station on the Mexico City Metro system.
  • C. ZS
    ZS is the stock ticker symbol for Zscaler, a cloud-based information security company traded on the NASDAQ.
  • D. ZS
    ZS is the vehicle registration code assigned to cars registered in the Polish city of Szczecin.
  • E. Z
    Z is the neutral elementary particle known as the Z boson, a carrier of the weak nuclear force in the Standard Model of particle physics.
  • 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_69ca84dfde1481909f47c286d715f892 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb2f341648190bf8343e1124085cb completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc6c64dc8190979be34255dc22e5 completed April 5, 2026, 2:43 a.m.
NEDg Description generation batch_69d1cf7ce46c8190a7383086eb667b51 completed April 5, 2026, 2:57 a.m.
NED2 Entity disambiguation (via description) batch_69d1d0034dc081908182e3f873a2c584 completed April 5, 2026, 2:59 a.m.
Created at: March 30, 2026, 8:30 p.m.