Triple

T13555505
Position Surface form Disambiguated ID Type / Status
Subject Kittitas Valley E323761 entity
Predicate hasCity P316 FINISHED
Object Ellensburg E311811 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: Ellensburg | Statement: [Kittitas Valley, hasCity, Ellensburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ellensburg
Context triple: [Kittitas Valley, hasCity, Ellensburg]
  • A. Ellensburg chosen
    Ellensburg is a small city in central Washington known for hosting Central Washington University and its historic downtown and rodeo traditions.
  • B. Puyallup
    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.
  • C. Poulsbo
    Poulsbo is a small waterfront city in Washington State known for its Scandinavian heritage and charming downtown on Liberty Bay.
  • D. Bellingham
    Bellingham is a residential district in southeast London known for its 20th-century housing estates and local community amenities.
  • E. Bellingham
    Bellingham is a small village in Northumberland, England, known as a gateway to the North Tyne valley and the surrounding Northumberland National Park.
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaff3063c8190bd20149b3f7df352 completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fff288ba908190a36c4784331d1e60 completed May 10, 2026, 2:50 a.m.
Created at: April 9, 2026, 9:47 p.m.