Triple

T7126208
Position Surface form Disambiguated ID Type / Status
Subject Seattle E166067 entity
Predicate landmark P1544 FINISHED
Object Kerry Park E20771 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: Kerry Park | Statement: [Seattle, landmark, Kerry Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kerry Park
Context triple: [Seattle, landmark, Kerry Park]
  • A. Kerry Park chosen
    Kerry Park is a small public viewpoint in Seattle famous for its iconic panoramic views of the city skyline and Mount Rainier.
  • B. Kendall Park
    Kendall Park is a residential unincorporated community and census-designated place in Middlesex County, New Jersey, known for its mid-20th-century suburban development.
  • C. Murry Park
    Murry Park is a public recreational park located in the city of Porterville in California’s Central Valley.
  • D. Sheehan Park
    Sheehan Park is a public recreational park in Sun Prairie, Wisconsin, featuring open green spaces, sports facilities, and community amenities for local residents and visitors.
  • E. Krutch Park
    Krutch Park is an urban green space and sculpture-filled park located in the heart of downtown Knoxville, Tennessee.
  • 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_69c6888350588190870cd552b427a1cd completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e64d99888190a93c1822e19b5457 completed March 27, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84eda551081909c8489f3848846f3 completed March 28, 2026, 9:57 p.m.
Created at: March 27, 2026, 2:44 p.m.