Triple

T1478382
Position Surface form Disambiguated ID Type / Status
Subject Silicon Forest E30894 entity
Predicate hasPart P35 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: [Silicon Forest, hasPart, Vancouver, Washington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vancouver, Washington
Context triple: [Silicon Forest, hasPart, 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. Walla Walla, Washington
    Walla Walla, Washington is a small city in southeastern Washington State known for its historic downtown, agricultural roots, and thriving wine industry.
  • C. Royal City, Washington
    Royal City, Washington is a small agricultural town in central Washington State known for its orchards and farming-based economy.
  • D. Pullman, Washington
    Pullman, Washington is a small college town in southeastern Washington known primarily as the home of Washington State University and its surrounding agricultural region.
  • E. Bellingham, Washington
    Bellingham, Washington is a coastal city in the northwestern United States known as a gateway to the San Juan Islands and Alaska, with a busy port, outdoor recreation, and a vibrant college-town atmosphere.
  • 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_69a498fe55a88190ab7f9e40ace88e49 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c605d4c0819088ab06678b2ba6f3 completed March 1, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69b085fc357481908259683cb4860cf3 completed March 10, 2026, 8:58 p.m.
Created at: March 1, 2026, 8:11 p.m.