Triple

T7781050
Position Surface form Disambiguated ID Type / Status
Subject Mount Ayr, Iowa E221517 entity
Predicate county P75 FINISHED
Object Ringgold County E236759 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: Ringgold County | Statement: [Mount Ayr, Iowa, county, Ringgold County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ringgold County
Context triple: [Mount Ayr, Iowa, county, Ringgold County]
  • A. Ringgold County chosen
    Ringgold County is a rural county located in the southwestern part of the U.S. state of Iowa.
  • B. Waller County
    Waller County is a county in southeastern Texas that forms part of the greater Houston metropolitan region.
  • C. Donley County
    Donley County is a rural county in the Texas Panhandle known for its ranching heritage, small communities, and wide-open High Plains landscapes.
  • D. Parmer County
    Parmer County is a rural county in the western Texas Panhandle known for its agriculture-based economy and small, close-knit communities.
  • E. Randall County
    Randall County is a county in the Texas Panhandle region, known for including part of the city of Amarillo and featuring a mix of urban and rural High Plains landscapes.
  • 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_69ca83ebbef881909ac47f789145fef7 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69caa4d6cf9881909f5220437db13cc7 completed March 30, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69caf5c1f20c81908ae2fc35550b91b5 completed March 30, 2026, 10:14 p.m.
Created at: March 30, 2026, 4:21 p.m.