Triple

T21189307
Position Surface form Disambiguated ID Type / Status
Subject Greenwood County E522169 entity
Predicate borderedByCounty P6346 FINISHED
Object Saluda County 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: Saluda County | Statement: [Greenwood County, borderedByCounty, Saluda County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saluda County
Context triple: [Greenwood County, borderedByCounty, Saluda County]
  • A. Saluda County chosen
    Saluda County is a rural county in central South Carolina known for its agricultural landscape, historic small towns, and outdoor recreation along its rivers and lakes.
  • B. La Paz County
    La Paz County is a sparsely populated county in western Arizona known for its desert landscapes, Colorado River recreation areas, and small rural communities.
  • C. Zavala County
    Zavala County is a rural county in southwest Texas known for its agricultural production and location in the South Texas Plains region.
  • D. Bosque County
    Bosque County is a rural county in central Texas known for its ranching, agriculture, and scenic landscapes along the Bosque River.
  • E. Val Verde County
    Val Verde County is a county in southwestern Texas along the U.S.–Mexico border, known for its seat in Del Rio and its rugged desert and river landscapes.
  • 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_69e0b51061388190aa03f19700d3ef04 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e733350e588190a31467758a8afa5c completed April 21, 2026, 8:20 a.m.
Created at: April 16, 2026, 3:07 p.m.