Triple

T949100
Position Surface form Disambiguated ID Type / Status
Subject Washington E20479 entity
Predicate contains P35 FINISHED
Object Bellingham E107794 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: Bellingham | Statement: [Washington, contains, Bellingham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bellingham
Context triple: [Washington, contains, Bellingham]
  • A. Bellingham, Washington chosen
    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.
  • B. 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.
  • C. Bremerton
    Bremerton is a waterfront city in Washington State known for its naval shipyard and ferry connection to Seattle across Puget Sound.
  • D. Forks, Washington
    Forks, Washington is a small, rainy town on Washington State’s Olympic Peninsula best known as the primary real-world setting of the Twilight book and film series.
  • E. 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.
  • 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_69a493b0f2fc81908cd227480a5356a1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3bf9bb88190a79b2db698613a8d completed March 1, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae02f0424481909c533774f0169ca7 completed March 8, 2026, 11:14 p.m.
Created at: March 1, 2026, 7:40 p.m.