Triple

T21298935
Position Surface form Disambiguated ID Type / Status
Subject Ravenna E525002 entity
Predicate hasPark P105 FINISHED
Object Ravenna 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: Ravenna Park | Statement: [Ravenna, hasPark, Ravenna Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ravenna Park
Context triple: [Ravenna, hasPark, Ravenna Park]
  • A. Ravenna Park chosen
    Ravenna Park is a wooded urban park in Seattle known for its ravine trails, natural areas, and proximity to the University of Washington.
  • B. Reverchon Park
    Reverchon Park is a historic urban park in Dallas, Texas, known for its recreational facilities, green spaces, and proximity to the popular Katy Trail.
  • C. Pascone Park
    Pascone Park is a local public park in the village of Ardsley, New York, offering recreational green space and community amenities for residents.
  • D. Rockwell Park
    Rockwell Park is a public recreational park in Bristol, Connecticut, known for its green spaces, walking trails, and community amenities.
  • E. Davoren Park
    Davoren Park is a residential suburb in the northern metropolitan area of Adelaide, South Australia, known for its affordable housing and diverse community.
  • 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_69e0b517e6748190850d6f6ddf323d69 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7385a24d08190bfd410c7f10fa6f7 completed April 21, 2026, 8:42 a.m.
Created at: April 16, 2026, 4:05 p.m.