Triple

T20880230
Position Surface form Disambiguated ID Type / Status
Subject Blue Hole Regional Park E514124 entity
Predicate managedBy P86 FINISHED
Object City of Wimberley 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: City of Wimberley | Statement: [Blue Hole Regional Park, managedBy, City of Wimberley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Wimberley
Context triple: [Blue Hole Regional Park, managedBy, City of Wimberley]
  • A. Wimberley chosen
    Wimberley is a small, scenic town in central Texas known for its picturesque Hill Country landscapes, swimming holes, and artsy, tourist-friendly downtown.
  • B. Fairburn
    Fairburn is a small suburban city in Fulton County, Georgia, that forms part of the greater Atlanta metropolitan area.
  • C. City of Willis
    The City of Willis is the municipal government authority responsible for administering and providing local services to the community of Willis, Texas.
  • D. Mountville
    Mountville is a small unincorporated community located in Laurens County, South Carolina.
  • E. Parkville
    Parkville is the main inner-city campus precinct of the University of Melbourne in Melbourne, Australia, known for its historic architecture and proximity to the central business district.
  • 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_69e0b4f733f081908a401c0b7beb0b9f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c67974348190bd3484032c0d7b31 completed April 21, 2026, 12:36 a.m.
Created at: April 16, 2026, 12:45 p.m.