Triple

T10032569
Position Surface form Disambiguated ID Type / Status
Subject ST Express bus E204884 entity
Predicate hasStopAt P17789 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: [ST Express bus, hasStopAt, Puyallup]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Puyallup
Context triple: [ST Express bus, hasStopAt, 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_69ca834d77188190ad645e33e8ca3200 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdce47845c8190ab5696267fdedcad completed April 2, 2026, 2:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69d32a82ef648190a7c3d59e47e51845 completed April 6, 2026, 3:37 a.m.
Created at: March 30, 2026, 8:54 p.m.