Triple

T1834169
Position Surface form Disambiguated ID Type / Status
Subject Canarsie E41026 entity
Predicate servedByBus P14525 FINISHED
Object B82
B82 is a New York City bus route that runs through Brooklyn, connecting neighborhoods such as Canarsie with other parts of the borough.
 E204031 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: B82 | Statement: [Canarsie, servedByBus, B82]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: B82
Context triple: [Canarsie, servedByBus, B82]
  • A. B8
    B8 is the eighth-generation Volkswagen Passat, a mid-size family car known for its refined design, advanced technology, and efficient powertrains.
  • B. B7
    B7 is the seventh-generation version of the Volkswagen Passat, produced in the early 2010s with updated styling, technology, and safety features over its predecessor.
  • C. F82
    F82 is the pennant number assigned to HMS Sikh, a British Royal Navy Tribal-class destroyer that served during the Second World War.
  • D. B4
    B4 is the internal designation for the fourth-generation Volkswagen Passat, produced in the mid-1990s with updated styling and engineering over its predecessor.
  • E. BR2
    BR2 is a UK postcode district covering parts of Hayes and surrounding areas in the London Borough of Bromley in southeast England.
  • 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: B82
Triple: [Canarsie, servedByBus, B82]
Generated description
B82 is a New York City bus route that runs through Brooklyn, connecting neighborhoods such as Canarsie with other parts of the borough.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: B82
Target entity description: B82 is a New York City bus route that runs through Brooklyn, connecting neighborhoods such as Canarsie with other parts of the borough.
  • A. B8
    B8 is the eighth-generation Volkswagen Passat, a mid-size family car known for its refined design, advanced technology, and efficient powertrains.
  • B. B7
    B7 is the seventh-generation version of the Volkswagen Passat, produced in the early 2010s with updated styling, technology, and safety features over its predecessor.
  • C. F82
    F82 is the pennant number assigned to HMS Sikh, a British Royal Navy Tribal-class destroyer that served during the Second World War.
  • D. B4
    B4 is the internal designation for the fourth-generation Volkswagen Passat, produced in the mid-1990s with updated styling and engineering over its predecessor.
  • E. BR2
    BR2 is a UK postcode district covering parts of Hayes and surrounding areas in the London Borough of Bromley in southeast England.
  • 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_69a88647f9388190909bc36e795bdaec completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb7c2354081909ee4da7669932796 completed March 7, 2026, 5:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf711c148190ba12d9bc81892095 completed March 8, 2026, 6:26 p.m.
NEDg Description generation batch_69adc080abb88190883c35943dc7cb10 completed March 8, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69adc13330888190a2b99c6fcbb97d49 completed March 8, 2026, 6:34 p.m.
Created at: March 4, 2026, 7:33 p.m.