Triple

T744876
Position Surface form Disambiguated ID Type / Status
Subject Seattle metropolitan area E15319 entity
Predicate hasPrincipalCity P3940 FINISHED
Object Tacoma E21347 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: Tacoma | Statement: [Seattle metropolitan area, hasPrincipalCity, Tacoma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tacoma
Context triple: [Seattle metropolitan area, hasPrincipalCity, Tacoma]
  • A. Tacoma, Washington chosen
    Tacoma, Washington is a mid-sized port city in the Pacific Northwest known for its waterfront, industrial history, and vibrant arts and museum scene.
  • B. Tukwila
    Tukwila is a suburban city just south of Seattle, Washington, known as a regional transportation and retail hub.
  • C. SeaTac
    SeaTac is a city in Washington State located between Seattle and Tacoma, best known for housing Seattle–Tacoma International Airport and being served by regional light rail.
  • D. Bremerton
    Bremerton is a waterfront city in Washington State known for its naval shipyard and ferry connection to Seattle across Puget Sound.
  • 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_69a49358aa308190adbc9b5a0a2adcf9 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a61217b881908592096b1edacb8a completed March 1, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac996309fc8190a177034f23807b2e completed March 7, 2026, 9:32 p.m.
Created at: March 1, 2026, 7:37 p.m.