Triple

T5989707
Position Surface form Disambiguated ID Type / Status
Subject Park Cities E133313 entity
Predicate hasPark P105 FINISHED
Object Goar Park E273241 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: Goar Park | Statement: [Park Cities, hasPark, Goar Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goar Park
Context triple: [Park Cities, hasPark, Goar Park]
  • A. Goar Park chosen
    Goar Park is a public green space located in the city of University Park, Texas, offering recreational areas and community amenities for local residents.
  • B. Shafor Park
    Shafor Park is a public recreational park located in the city of Oakwood in Montgomery County, Ohio.
  • C. Otsiningo Park
    Otsiningo Park is a popular public park in Binghamton, New York, known for its walking and biking trails, open green spaces, and recreational facilities along the Chenango River.
  • D. Vaynor Park
    Vaynor Park is a historic country house and estate near Berriew in Powys, Wales, noted for its architectural and heritage significance.
  • E. Meriken Park
    Meriken Park is a waterfront park and popular tourist spot in Kobe, Japan, known for its modern architecture, harbor views, and landmarks like the Kobe Port Tower and the Kobe Maritime Museum.
  • 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_69c0087010d081908bb8142342d63330 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04dc76fd481908cc3f327e532a1a6 completed March 22, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9cbcc02fc8190b0f9049dffc22021 completed March 30, 2026, 1:03 a.m.
Created at: March 22, 2026, 4:05 p.m.