Triple

T1120240
Position Surface form Disambiguated ID Type / Status
Subject Chicago Park District E11192 entity
Predicate hasPart P35 FINISHED
Object Burnham Park E71822 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: Burnham Park | Statement: [Chicago Park District, hasPart, Burnham Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burnham Park
Context triple: [Chicago Park District, hasPart, Burnham Park]
  • A. Burnham Park chosen
    Burnham Park is a large public park along Chicago’s Lake Michigan shoreline, known for its scenic lakefront, recreational facilities, and connection between downtown and the city’s South Side.
  • B. Massapequa Park
    Massapequa Park is a suburban village in Nassau County, New York, located on Long Island and primarily known as a residential commuter community.
  • C. Lincoln Park
    Lincoln Park is a large, historic lakefront park in Chicago known for its green spaces, beaches, cultural institutions, and the free Lincoln Park Zoo.
  • D. Lincoln Park
    Lincoln Park is a residential neighborhood in the city of Yonkers, New York, known for its suburban character and proximity to New York City.
  • E. Downing Park
    Downing Park is a historic public park in Newburgh, New York, designed in the late 19th century by landscape architects Frederick Law Olmsted and Calvert Vaux.
  • 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_69a493252a648190ac48f8742474a5e8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4bbbca3348190a607ce147b2ae70e completed March 1, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69acacaafe5c8190968cd74e59ceaa53 completed March 7, 2026, 10:54 p.m.
Created at: March 1, 2026, 7:43 p.m.