Triple

T20969942
Position Surface form Disambiguated ID Type / Status
Subject Western Washington E516466 entity
Predicate hasCity P316 FINISHED
Object Port Angeles 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: Port Angeles | Statement: [Western Washington, hasCity, Port Angeles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port Angeles
Context triple: [Western Washington, hasCity, Port Angeles]
  • A. Port Angeles chosen
    Port Angeles is a coastal city on Washington State’s Olympic Peninsula that serves as a primary gateway to Olympic National Park and the surrounding natural attractions.
  • B. Port Orchard
    Port Orchard is a small waterfront city in Washington State known as the administrative and commercial hub of Kitsap County.
  • C. Aberdeen, Washington
    Aberdeen, Washington is a coastal city at the mouth of the Chehalis River known historically as a timber and fishing hub and as the hometown of Nirvana frontman Kurt Cobain.
  • D. Anacortes
    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.
  • E. Port of Port Angeles
    The Port of Port Angeles is a public port authority in Washington State that manages maritime, industrial, and aviation facilities to support regional trade and economic development.
  • 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.