Triple

T981325
Position Surface form Disambiguated ID Type / Status
Subject Fulton Street complex E21173 entity
Predicate servedByService P1294 FINISHED
Object Z
Z is a New York City Subway service that runs along the BMT Jamaica Line in Brooklyn and Queens, operating as a rush-hour, skip-stop counterpart to the J train.
 E116100 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 | Statement: [Fulton Street complex, servedByService, Z]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Z
Context triple: [Fulton Street complex, servedByService, Z]
  • A. 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.
  • B. ZZ
    ZZ is an aircraft registration prefix used to identify certain aircraft, such as those in the Voyager KC2 fleet.
  • C. ZH
    ZH is the official vehicle registration code used for the Swiss canton of Zurich.
  • D. ZF
    ZF is the standard axiomatic framework for set theory that underpins much of modern mathematics.
  • E. ZWN
    ZWN is a former currency code used to denote an early version of the Zimbabwean dollar in international financial and foreign exchange contexts.
  • 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
Triple: [Fulton Street complex, servedByService, Z]
Generated description
Z is a New York City Subway service that runs along the BMT Jamaica Line in Brooklyn and Queens, operating as a rush-hour, skip-stop counterpart to the J train.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Z
Target entity description: Z is a New York City Subway service that runs along the BMT Jamaica Line in Brooklyn and Queens, operating as a rush-hour, skip-stop counterpart to the J train.
  • A. 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.
  • B. ZZ
    ZZ is an aircraft registration prefix used to identify certain aircraft, such as those in the Voyager KC2 fleet.
  • C. ZH
    ZH is the official vehicle registration code used for the Swiss canton of Zurich.
  • D. ZF
    ZF is the standard axiomatic framework for set theory that underpins much of modern mathematics.
  • E. ZWN
    ZWN is a former currency code used to denote an early version of the Zimbabwean dollar in international financial and foreign exchange contexts.
  • 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_69a493c2b62c8190b616351789ec47f8 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b47cbca48190a01880bb411e80bd completed March 1, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac1ce14ffc8190b2d0a7915960ff89 completed March 7, 2026, 12:41 p.m.
NEDg Description generation batch_69ac1dcf739081909c38eb936425f666 completed March 7, 2026, 12:45 p.m.
NED2 Entity disambiguation (via description) batch_69ac1e41d0a081908e890ce6aeccc87f completed March 7, 2026, 12:46 p.m.
Created at: March 1, 2026, 7:41 p.m.