Triple

T306970
Position Surface form Disambiguated ID Type / Status
Subject Puget Sound region E6324 entity
Predicate hasMajorCity P316 FINISHED
Object Bellevue E24777 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: Bellevue | Statement: [Puget Sound region, hasMajorCity, Bellevue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bellevue
Context triple: [Puget Sound region, hasMajorCity, Bellevue]
  • A. Bellevue
    Bellevue is a small municipality located along Lake Geneva in the canton of Geneva in southwestern Switzerland.
  • B. Bellevue, Washington, United States chosen
    Bellevue, Washington, United States is a major city in the Seattle metropolitan area known for its thriving tech industry, upscale downtown, and role as a regional business and retail hub.
  • C. Everett
    Everett is a surname of English origin borne by various notable individuals, including American politician and orator Edward Everett.
  • D. Vancouver, Washington
    Vancouver, Washington is a mid-sized city in southwest Washington State, located on the north bank of the Columbia River across from Portland, Oregon.
  • E. Olympia
    Olympia is an ancient sanctuary in Greece renowned as a major religious center dedicated to Zeus and the original site of the Olympic Games.
  • 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_69a2e79230508190b912ecb555aae17e completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ea313be88190b4441f3ea41a99e2 completed Feb. 28, 2026, 1:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3fe8dde4c8190bd897e5251eb6941 completed March 1, 2026, 8:53 a.m.
Created at: Feb. 28, 2026, 1:06 p.m.