Triple

T20969944
Position Surface form Disambiguated ID Type / Status
Subject Western Washington E516466 entity
Predicate hasCity P316 FINISHED
Object Hoquiam 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: Hoquiam | Statement: [Western Washington, hasCity, Hoquiam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hoquiam
Context triple: [Western Washington, hasCity, Hoquiam]
  • A. Hoquiam, Washington chosen
    Hoquiam, Washington is a small coastal city in the Pacific Northwest known historically for its timber industry and location near Grays Harbor on the Olympic Peninsula.
  • B. Quilcene, Washington
    Quilcene, Washington is a small rural community on the Olympic Peninsula known for its shellfish harvesting and proximity to Olympic National Forest.
  • C. Port Ludlow, Washington
    Port Ludlow, Washington is a small waterfront community on the Olympic Peninsula known for its marina, resort amenities, and scenic views of Puget Sound.
  • D. Dallesport, Washington
    Dallesport, Washington is a small unincorporated community in Klickitat County along the Columbia River in south-central Washington State.
  • E. Sequim, Washington
    Sequim, Washington is a small city on the Olympic Peninsula known for its sunny "rain shadow" climate and annual lavender festival.
  • 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.