Triple

T515992
Position Surface form Disambiguated ID Type / Status
Subject Clark County, Washington E10707 entity
Predicate countySeat P383 FINISHED
Object Vancouver, Washington E44242 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: Vancouver, Washington | Statement: [Clark County, Washington, countySeat, Vancouver, Washington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vancouver, Washington
Context triple: [Clark County, Washington, countySeat, Vancouver, Washington]
  • A. Vancouver, Washington chosen
    Vancouver, Washington is a mid-sized city in southwest Washington State, located on the north bank of the Columbia River across from Portland, Oregon.
  • B. Tacoma, Washington
    Tacoma, Washington is a mid-sized port city in the Pacific Northwest known for its waterfront, industrial history, and vibrant arts and museum scene.
  • C. Lacey, Washington
    Lacey, Washington is a suburban city in Thurston County near Olympia, known for its proximity to state government centers and its role as a regional administrative and commercial hub.
  • D. Tukwila
    Tukwila is a suburban city just south of Seattle, Washington, known as a regional transportation and retail hub.
  • E. Bremerton
    Bremerton is a waterfront city in Washington State known for its naval shipyard and ferry connection to Seattle across Puget Sound.
  • 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_69a2e84a0d08819087e01863fcd9abf1 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1836b688190a60cc901a8724159 completed Feb. 28, 2026, 1:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5291f50e481909cf404c6b4050b94 completed March 2, 2026, 6:07 a.m.
Created at: Feb. 28, 2026, 1:12 p.m.