Triple

T20969947
Position Surface form Disambiguated ID Type / Status
Subject Western Washington E516466 entity
Predicate hasCity P316 FINISHED
Object Anacortes 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: Anacortes | Statement: [Western Washington, hasCity, Anacortes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anacortes
Context triple: [Western Washington, hasCity, Anacortes]
  • A. Anacortes chosen
    Anacortes is a coastal city in northwestern Washington State known as a gateway to the San Juan Islands and a hub for boating and outdoor recreation.
  • B. Port Orchard
    Port Orchard is a small waterfront city in Washington State known as the administrative and commercial hub of Kitsap County.
  • C. Gig Harbor
    Gig Harbor is a picturesque waterfront city in western Washington known for its maritime heritage, marinas, and views of Mount Rainier.
  • D. Bellingham
    Bellingham is a residential district in southeast London known for its 20th-century housing estates and local community amenities.
  • E. Bellingham
    Bellingham is a small village in Northumberland, England, known as a gateway to the North Tyne valley and the surrounding Northumberland National Park.
  • 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_69e0b4fee5ac8190875fa9ceba1a5e5e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fb9f53e88190847f93e0bbca6ea0 completed April 21, 2026, 4:22 a.m.
Created at: April 16, 2026, 1:43 p.m.