Triple

T19800945
Position Surface form Disambiguated ID Type / Status
Subject Kensington, Brooklyn E475671 entity
Predicate servedByBusRoute P14525 FINISHED
Object B35
B35 is a New York City bus route in Brooklyn that runs across the borough’s central neighborhoods, including Kensington, providing key east–west transit connections.
 E1395086 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: B35 | Statement: [Kensington, Brooklyn, servedByBusRoute, B35]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: B35
Context triple: [Kensington, Brooklyn, servedByBusRoute, B35]
  • A. B3
    B3 is the third-generation Volkswagen Passat, produced in the early 1990s and known for its aerodynamic, grille-less front design and improved engineering over its predecessors.
  • B. B3
    B3 is Brazil’s main stock exchange, responsible for trading equities, derivatives, and other financial assets in the Brazilian market.
  • C. B33
    B33 is the catalog designation for the Horsehead Nebula, a dark molecular cloud in the constellation Orion whose distinctive silhouette resembles a horse’s head.
  • D. B 3
    B 3 is a major German federal highway (Bundesstraße) that runs north–south, connecting several important cities across western Germany.
  • E. 3B
    3B is the designation of a specific Hubble Space Telescope servicing mission that focused on upgrading and maintaining the observatory’s instruments and systems.
  • 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: B35
Triple: [Kensington, Brooklyn, servedByBusRoute, B35]
Generated description
B35 is a New York City bus route in Brooklyn that runs across the borough’s central neighborhoods, including Kensington, providing key east–west transit connections.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: B35
Target entity description: B35 is a New York City bus route in Brooklyn that runs across the borough’s central neighborhoods, including Kensington, providing key east–west transit connections.
  • A. B3
    B3 is the third-generation Volkswagen Passat, produced in the early 1990s and known for its aerodynamic, grille-less front design and improved engineering over its predecessors.
  • B. B3
    B3 is Brazil’s main stock exchange, responsible for trading equities, derivatives, and other financial assets in the Brazilian market.
  • C. B33
    B33 is the catalog designation for the Horsehead Nebula, a dark molecular cloud in the constellation Orion whose distinctive silhouette resembles a horse’s head.
  • D. B 3
    B 3 is a major German federal highway (Bundesstraße) that runs north–south, connecting several important cities across western Germany.
  • E. 3B
    3B is the designation of a specific Hubble Space Telescope servicing mission that focused on upgrading and maintaining the observatory’s instruments and systems.
  • 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.