Triple

T18621585
Position Surface form Disambiguated ID Type / Status
Subject Coryell County E455163 entity
Predicate borderedBy P224 FINISHED
Object Bosque 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: Bosque County | Statement: [Coryell County, borderedBy, Bosque County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bosque County
Context triple: [Coryell County, borderedBy, Bosque County]
  • A. Bosque County chosen
    Bosque County is a rural county in central Texas known for its ranching, agriculture, and scenic landscapes along the Bosque River.
  • B. Cerro Gordo County
    Cerro Gordo County is a county in north-central Iowa known for its seat, Mason City, and its mix of agricultural land and small urban centers.
  • C. 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.
  • D. Sierra County
    Sierra County is a sparsely populated county in southern New Mexico known for its desert landscapes, historic trails, and proximity to sites like Spaceport America and Truth or Consequences.
  • E. Sierra County
    Sierra County is a sparsely populated, mountainous county in northeastern California known for its rugged Sierra Nevada landscapes and historic Gold Rush-era towns.
  • 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_69d8d38cc7948190a55ea64e5638994e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54f0146f48190a872032db6e660c6 completed April 19, 2026, 9:54 p.m.
Created at: April 10, 2026, 11:46 a.m.