Triple

T15280169
Position Surface form Disambiguated ID Type / Status
Subject Jefferson County, Oklahoma E365247 entity
Predicate countySeat P383 FINISHED
Object Waurika E1149335 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: Waurika | Statement: [Jefferson County, Oklahoma, countySeat, Waurika]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waurika
Context triple: [Jefferson County, Oklahoma, countySeat, Waurika]
  • A. Waurika chosen
    Waurika is a small city in southern Oklahoma known as the administrative and economic hub of Jefferson County.
  • B. Waibakul
    Waibakul is a town on the island of Sumba in Indonesia that serves as the administrative and political center of Central Sumba Regency.
  • C. Kuwarra
    Kuwarra is an Australian Aboriginal language variety spoken by Indigenous communities in the Western Desert region.
  • D. Waynoka
    Waynoka is a small city in northwestern Oklahoma known historically as a railroad hub and as a gateway to the nearby Little Sahara State Park sand dunes.
  • E. Womboota
    Womboota is a small rural locality in the Riverina region of New South Wales, Australia, known for its agricultural surroundings and close-knit community.
  • 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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00e504d8c8190ad6c565a31d1a9bd completed April 15, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff01e092408190aec1561e78ea0acb completed May 9, 2026, 9:44 a.m.
Created at: April 10, 2026, 3:15 a.m.