Triple

T12930390
Position Surface form Disambiguated ID Type / Status
Subject South Brooklyn E309360 entity
Predicate includesNeighborhood P4813 FINISHED
Object Kensington
Kensington is a diverse, primarily residential neighborhood in the central part of Brooklyn, New York City, known for its mix of apartment buildings, row houses, and small businesses.
E475671 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 | Statement: [South Brooklyn, includesNeighborhood, Kensington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kensington
Context triple: [South Brooklyn, includesNeighborhood, Kensington]
  • A. Kensington
    Kensington is a district in West London, England, known for its affluent residential areas, cultural institutions, and royal associations.
  • B. Kensington
    Kensington is a small, affluent unincorporated community in Contra Costa County, California, located in the San Francisco Bay Area.
  • C. Kensington
    Kensington is an inner-city suburb of Sydney, Australia, known for hosting the main campus of the University of New South Wales.
  • D. Kensington
    Kensington is a historic Philadelphia neighborhood known for its industrial past and ongoing urban redevelopment.
  • E. Kensington
    Kensington is a small, affluent residential village located on the North Shore of Long Island in Nassau County, New York.
  • 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
Triple: [South Brooklyn, includesNeighborhood, Kensington]
Generated description
Kensington is a diverse, primarily residential neighborhood in the central part of Brooklyn, New York City, known for its mix of apartment buildings, row houses, and small businesses.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kensington
Target entity description: Kensington is a diverse, primarily residential neighborhood in the central part of Brooklyn, New York City, known for its mix of apartment buildings, row houses, and small businesses.
  • A. Kensington chosen
    Kensington is a residential neighborhood in central Brooklyn, New York City, known for its diverse population and mix of apartment buildings and single-family homes.
  • B. Kensington
    Kensington is a small, affluent residential village located on the North Shore of Long Island in Nassau County, New York.
  • C. Kensington
    Kensington is a district in West London, England, known for its affluent residential areas, cultural institutions, and royal associations.
  • D. Kensington
    Kensington is a historic Philadelphia neighborhood known for its industrial past and ongoing urban redevelopment.
  • E. Kensington
    Kensington is a popular inner-city district in Calgary known for its vibrant mix of shops, restaurants, and cultural venues.
  • F. None of above.

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_69d7bdfa933c8190b5a27aa4a08a19b7 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97245b6408190816d9b7e314eb51a completed April 10, 2026, 9:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d5f1023881909cbfe46a89b3e184 completed May 3, 2026, 4:58 a.m.
NEDg Description generation batch_69f6d744f0c081909340415fb4951a6e completed May 3, 2026, 5:04 a.m.
NED2 Entity disambiguation (via description) batch_69f6d8013e9481908f5edcce7247212d completed May 3, 2026, 5:07 a.m.
Created at: April 9, 2026, 5:42 p.m.