Triple

T12508210
Position Surface form Disambiguated ID Type / Status
Subject North Seattle E299004 entity
Predicate hasRecreationArea P5383 FINISHED
Object Green Lake Park E517713 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: Green Lake Park | Statement: [North Seattle, hasRecreationArea, Green Lake Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Green Lake Park
Context triple: [North Seattle, hasRecreationArea, Green Lake Park]
  • A. Green Lake Park chosen
    Green Lake Park is a popular urban park in Seattle centered around a freshwater lake, known for its walking and biking trails, water activities, and scenic green spaces.
  • B. Lakeview Park
    Lakeview Park is a popular public park in Nampa, Idaho, known for its recreational facilities, green spaces, and community events.
  • C. Lakeview Park
    Lakeview Park is a popular waterfront recreational area in Oshawa, Ontario, featuring green spaces, trails, and access to Lake Ontario.
  • D. Winona Lake Park
    Winona Lake Park is a public lakeside recreational area near Warsaw, Indiana, offering outdoor activities, scenic views, and community gathering spaces.
  • E. Silver Lake Park
    Silver Lake Park is a public recreational area in Middletown, Delaware, featuring a lake, open green spaces, and outdoor amenities for community use.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9541c1ca08190a4026c394ebcbeb5 completed April 10, 2026, 7:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5b5c138819098326891f86eab48 completed May 3, 2026, 7:13 a.m.
Created at: April 8, 2026, 9:57 p.m.