Triple

T20638899
Position Surface form Disambiguated ID Type / Status
Subject the Blues E507164 entity
Predicate associatedCity P3207 FINISHED
Object Walla Walla NE NERFINISHED

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: Walla Walla | Statement: [the Blues, associatedCity, Walla Walla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walla Walla
Context triple: [the Blues, associatedCity, Walla Walla]
  • A. Walla Walla
    Walla Walla is a small rural town in the Riverina region of New South Wales, Australia, known for its agricultural community and historic German heritage.
  • B. Walla Walla, Washington chosen
    Walla Walla, Washington is a small city in southeastern Washington State known for its historic downtown, agricultural roots, and thriving wine industry.
  • C. Yakima
    Yakima is a city in south-central Washington State known as a major agricultural hub, particularly for apples, hops, and wine grapes.
  • D. Chehalis, Washington
    Chehalis, Washington is a small city in Lewis County that serves as a regional hub and county seat in southwestern Washington State.
  • E. Palouse, Washington
    Palouse, Washington is a small rural city in southeastern Washington State known for its rolling agricultural landscapes and historic downtown.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4be702c8190a3d2410a881d310a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6ad1163008190aa9df36750a952d2 completed April 20, 2026, 10:47 p.m.
Created at: April 16, 2026, 11:42 a.m.