Triple

T17405615
Position Surface form Disambiguated ID Type / Status
Subject East Side of Buffalo E423206 entity
Predicate hasNeighborhood P40 FINISHED
Object Kensington-Bailey
Kensington-Bailey is a residential and commercial neighborhood on the East Side of Buffalo, New York, known for its busy retail corridors and diverse urban community.
E1267235 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: Kensington-Bailey | Statement: [East Side of Buffalo, hasNeighborhood, Kensington-Bailey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kensington-Bailey
Context triple: [East Side of Buffalo, hasNeighborhood, Kensington-Bailey]
  • A. Barham
    Barham is a village and civil parish located in the county of Suffolk in eastern England.
  • B. Barham
    Barham is a small rural town in the Riverina region of New South Wales, Australia, situated on the Murray River opposite the Victorian town of Koondrook.
  • C. Barham
    Barham is a Kurdish Iraqi politician best known for serving as the President of Iraq from 2018 to 2022.
  • D. Rosebery
    Rosebery is an inner-southern suburb of Sydney, Australia, known for its mix of residential areas, light industrial zones, and growing café and retail culture.
  • E. Rosebery
    Rosebery is a residential suburb located within the metropolitan area of Darwin in Australia's Northern Territory.
  • 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: Kensington-Bailey
Triple: [East Side of Buffalo, hasNeighborhood, Kensington-Bailey]
Generated description
Kensington-Bailey is a residential and commercial neighborhood on the East Side of Buffalo, New York, known for its busy retail corridors and diverse urban community.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kensington-Bailey
Target entity description: Kensington-Bailey is a residential and commercial neighborhood on the East Side of Buffalo, New York, known for its busy retail corridors and diverse urban community.
  • A. Barham
    Barham is a village and civil parish located in the county of Suffolk in eastern England.
  • B. Barham
    Barham is a Kurdish Iraqi politician best known for serving as the President of Iraq from 2018 to 2022.
  • C. Barham
    Barham is a small rural town in the Riverina region of New South Wales, Australia, situated on the Murray River opposite the Victorian town of Koondrook.
  • D. Rosebery
    Rosebery is an inner-southern suburb of Sydney, Australia, known for its mix of residential areas, light industrial zones, and growing café and retail culture.
  • E. Rosebery
    Rosebery is a residential suburb located within the metropolitan area of Darwin in Australia's Northern Territory.
  • 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_69d889d7d27c819088486ce3f0627fa1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43b0750688190bb123634d7c7273e completed April 19, 2026, 2:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01a7f9bc508190aeae98b45c002d75 completed May 11, 2026, 9:57 a.m.
NEDg Description generation batch_6a01a898ceb48190ba3d40c898b17158 completed May 11, 2026, 9:59 a.m.
NED2 Entity disambiguation (via description) batch_6a01a9183410819083c8239e3ce38ea2 completed May 11, 2026, 10:02 a.m.
Created at: April 10, 2026, 5:45 a.m.