Triple

T5989708
Position Surface form Disambiguated ID Type / Status
Subject Park Cities E133313 entity
Predicate hasPark P105 FINISHED
Object Caruth Park E258589 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: Caruth Park | Statement: [Park Cities, hasPark, Caruth Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caruth Park
Context triple: [Park Cities, hasPark, Caruth Park]
  • A. Caruth Park chosen
    Caruth Park is a public recreational park located in the city of University Park, Texas, offering green space, sports facilities, and outdoor amenities for local residents.
  • B. Kinnear Park
    Kinnear Park is a historic public park in Seattle known for its wooded trails, viewpoints, and green space on the west slope of Queen Anne Hill.
  • C. Van Horne Park
    Van Horne Park is a public recreational park in Montgomery Township, New Jersey, featuring open green spaces, sports fields, and community amenities.
  • D. Greg Brown Park
    Greg Brown Park is a neighborhood public park located in South Berkeley, California, offering local residents green space and recreational amenities.
  • E. McConnell Park
    McConnell Park is a public recreational park in Boston, Massachusetts, offering athletic fields and green space as part of the city’s park system.
  • 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_69c64b970c648190aacb0af2f1bcb7ff completed March 27, 2026, 9:19 a.m.
Created at: March 22, 2026, 4:05 p.m.