Triple

T4744793
Position Surface form Disambiguated ID Type / Status
Subject Gold Beach E105334 entity
Predicate isCountySeatOf P383 FINISHED
Object Curry County E429182 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: Curry County | Statement: [Gold Beach, isCountySeatOf, Curry County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Curry County
Context triple: [Gold Beach, isCountySeatOf, Curry County]
  • A. Curry County
    Curry County is a rural county in eastern New Mexico known for its agricultural economy and the city of Clovis, a regional hub near the Texas border.
  • B. Curry County chosen
    Curry County is a coastal county in southwestern Oregon known for its rugged Pacific shoreline, forests, and small communities such as Port Orford.
  • C. Millard County
    Millard County is a largely rural county in central Utah known for its agricultural communities, desert landscapes, and historical sites including portions of the old Mormon pioneer trails.
  • D. Carson County
    Carson County is a rural county in the Texas Panhandle known for its agricultural economy and small-town communities.
  • E. Morgan County
    Morgan County is a rural county in northeastern Colorado known for its agricultural economy and small communities centered around the city of Fort Morgan.
  • 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_69bd43ef87a48190a5bc3600711aa032 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64aa72c0819082ede0f531d75e65 completed March 20, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43af63c48190a8d2751de4e9eee7 completed March 21, 2026, 7:07 a.m.
Created at: March 20, 2026, 1:19 p.m.