Triple

T21649630
Position Surface form Disambiguated ID Type / Status
Subject Barberton E534300 entity
Predicate hasPark P105 FINISHED
Object Lake Anna 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: Lake Anna Park | Statement: [Barberton, hasPark, Lake Anna Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Anna Park
Context triple: [Barberton, hasPark, Lake Anna Park]
  • A. Lake Anna Park chosen
    Lake Anna Park is a central recreational and scenic lakeside park in Barberton, Ohio, known for its walking paths, community events, and historic surroundings.
  • B. Lake Horton Park
    Lake Horton Park is a public recreational area in Fayette County, Georgia, known for its reservoir, walking trails, fishing, and picnic facilities.
  • C. Lake Fairfax Park
    Lake Fairfax Park is a large public park in Reston, Virginia, known for its lake, trails, campgrounds, and recreational facilities.
  • D. Lake Roland Park
    Lake Roland Park is a large nature and recreation area in Baltimore County, Maryland, known for its lake, hiking trails, and wildlife habitats.
  • E. Lake Accotink Park
    Lake Accotink Park is a popular Fairfax County, Virginia recreational area centered around Lake Accotink, offering trails, boating, picnicking, and other outdoor activities.
  • 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_69e0c466aec88190ba39c7543dbc8ba2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef5913cd9c81908a6ce9bc741416bf completed April 27, 2026, 12:39 p.m.
Created at: April 16, 2026, 6:35 p.m.