Triple

T16055005
Position Surface form Disambiguated ID Type / Status
Subject Beardsley Zoo E389456 entity
Predicate locatedIn P40 FINISHED
Object Beardsley Park NE NERFINISHED

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: Beardsley Park | Statement: [Beardsley Zoo, locatedIn, Beardsley Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beardsley Park
Context triple: [Beardsley Zoo, locatedIn, Beardsley Park]
  • A. Beardsley Park chosen
    Beardsley Park is a historic public park in Bridgeport, Connecticut, known for its scenic landscapes and for housing the Beardsley Zoo, the state's only accredited zoo.
  • B. Glassell Park
    Glassell Park is a diverse residential and industrial neighborhood in northeast Los Angeles known for its hilly terrain, views, and mix of historic and modern housing.
  • C. Elm Park
    Elm Park was the historic football stadium in Reading, England that served as the long-time home of Reading F.C. before its closure and replacement by the Madejski Stadium.
  • D. Elm Park
    Elm Park is a suburban residential district in East London known for its 1930s housing estates and local shopping parade.
  • E. Elm Park
    Elm Park is a residential neighborhood on Staten Island in New York City, known for its diverse community and proximity to the Kill Van Kull waterfront.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183744eac8190946c12d58496bf61 completed April 17, 2026, 12:48 a.m.
Created at: April 10, 2026, 4:56 a.m.