Triple

T19800943
Position Surface form Disambiguated ID Type / Status
Subject Kensington, Brooklyn E475671 entity
Predicate servedByBusRoute P14525 FINISHED
Object B8
B8 is a New York City bus route in Brooklyn that connects several neighborhoods, including Kensington, along an east–west corridor.
 E1395084 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: B8 | Statement: [Kensington, Brooklyn, servedByBusRoute, B8]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: B8
Context triple: [Kensington, Brooklyn, servedByBusRoute, B8]
  • 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. B82
    B82 is a New York City bus route that runs through Brooklyn, connecting neighborhoods such as Canarsie with other parts of the borough.
  • C. B83
    The B83 is a high-yield American thermonuclear gravity bomb developed during the late Cold War for strategic bomber delivery.
  • D. B9
    B9 is the fifth-generation Audi A4 platform, featuring updated styling, improved efficiency, and advanced technology over its predecessor.
  • E. 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.
  • 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: B8
Triple: [Kensington, Brooklyn, servedByBusRoute, B8]
Generated description
B8 is a New York City bus route in Brooklyn that connects several neighborhoods, including Kensington, along an east–west corridor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: B8
Target entity description: B8 is a New York City bus route in Brooklyn that connects several neighborhoods, including Kensington, along an east–west corridor.
  • 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. B82
    B82 is a New York City bus route that runs through Brooklyn, connecting neighborhoods such as Canarsie with other parts of the borough.
  • C. B83
    The B83 is a high-yield American thermonuclear gravity bomb developed during the late Cold War for strategic bomber delivery.
  • D. B9
    B9 is the fifth-generation Audi A4 platform, featuring updated styling, improved efficiency, and advanced technology over its predecessor.
  • E. 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.
  • 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e653cc995c81908e4ca85b0639d541 completed April 20, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07c5088834819086f4b8ac1e33401b completed May 16, 2026, 1:14 a.m.
NEDg Description generation batch_6a07c5f5a2808190bab75011262f86e6 completed May 16, 2026, 1:18 a.m.
NED2 Entity disambiguation (via description) batch_6a07c6745828819085ea6103a723380a completed May 16, 2026, 1:20 a.m.
Created at: April 10, 2026, 1:49 p.m.