Triple

T12730524
Position Surface form Disambiguated ID Type / Status
Subject Washington State Route 167 E304223 entity
Predicate servesCity P82 FINISHED
Object Puyallup E284955 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: Puyallup | Statement: [Washington State Route 167, servesCity, Puyallup]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Puyallup
Context triple: [Washington State Route 167, servesCity, Puyallup]
  • A. Puyallup chosen
    Puyallup is a city in Washington State known for its annual Washington State Fair and its location in the Puyallup River Valley southeast of Tacoma.
  • B. Poulsbo
    Poulsbo is a small waterfront city in Washington State known for its Scandinavian heritage and charming downtown on Liberty Bay.
  • C. Ellensburg
    Ellensburg is a small city in central Washington known for hosting Central Washington University and its historic downtown and rodeo traditions.
  • D. Tukwila
    Tukwila is a suburban city just south of Seattle, Washington, known as a regional transportation and retail hub.
  • E. Bellingham
    Bellingham is a residential district in southeast London known for its 20th-century housing estates and local community amenities.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96467a2248190aff1ebb5db84b3c6 completed April 10, 2026, 8:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff453c189c8190ac73204b7ac68dda completed May 9, 2026, 2:31 p.m.
Created at: April 9, 2026, 5:25 p.m.