Triple

T5020215
Position Surface form Disambiguated ID Type / Status
Subject New Kensington, Pennsylvania E112831 entity
Predicate namedAfter P63 FINISHED
Object Kensington, Philadelphia E306195 NE FINISHED

How this triple was built (2 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, Philadelphia | Statement: [New Kensington, Pennsylvania, namedAfter, Kensington, Philadelphia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kensington, Philadelphia
Context triple: [New Kensington, Pennsylvania, namedAfter, Kensington, Philadelphia]
  • A. Gladwyne, Pennsylvania
    Gladwyne, Pennsylvania is an affluent suburban community on Philadelphia’s Main Line known for its historic estates, wooded landscapes, and high quality of life.
  • B. New Kensington, Pennsylvania
    New Kensington, Pennsylvania is a small industrial borough along the Allegheny River near Pittsburgh, historically known for aluminum production and manufacturing.
  • C. Kensington chosen
    Kensington is a historic Philadelphia neighborhood known for its industrial past and ongoing urban redevelopment.
  • D. Kensington
    Kensington is a popular inner-city district in Calgary known for its vibrant mix of shops, restaurants, and cultural venues.
  • E. Kensington
    Kensington is a district in West London, England, known for its affluent residential areas, cultural institutions, and royal associations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd4435c2f48190be593158cbfcf8a3 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd736399ac8190aa38efc4b4edc6a2 completed March 20, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69be927f4ad0819096826f6cb141c90b completed March 21, 2026, 12:43 p.m.
Created at: March 20, 2026, 1:36 p.m.