Triple

T11682202
Position Surface form Disambiguated ID Type / Status
Subject Ravenna Creek E277644 entity
Predicate flowsThrough P225 FINISHED
Object Ravenna Park E595397 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: Ravenna Park | Statement: [Ravenna Creek, flowsThrough, Ravenna Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ravenna Park
Context triple: [Ravenna Creek, flowsThrough, 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. Raimondi Park
    Raimondi Park is a public recreational park located in the West Oakland neighborhood of Oakland, California.
  • 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a462bb2881909238107d34c0a28d completed April 10, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d3551cc8190848c14c15da07dc4 completed May 9, 2026, 1:57 p.m.
Created at: April 8, 2026, 9:40 p.m.