Triple

T6503984
Position Surface form Disambiguated ID Type / Status
Subject Triad E148959 entity
Predicate majorCounty P71252 FINISHED
Object Randolph County E134468 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: Randolph County | Statement: [Triad, majorCounty, Randolph County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Randolph County
Context triple: [Triad, majorCounty, Randolph County]
  • A. Randolph County chosen
    Randolph County is a rural county in eastern Alabama known for its small towns, agricultural landscape, and proximity to the Georgia state line.
  • B. McDowell County
    McDowell County is a rural, historically coal-mining county located in the southern part of West Virginia.
  • C. Baca County
    Baca County is a sparsely populated, agriculture-focused county located in the southeastern corner of the U.S. state of Colorado.
  • D. Haralson County
    Haralson County is a rural county in western Georgia known historically for its location within the Georgia Gold Belt and its small-town communities.
  • E. Hickman County
    Hickman County is a rural county in far western Kentucky, known for its location along the Mississippi River within the Jackson Purchase region.
  • 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_69c687e9ad288190bae5bcac9c8ac855 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ad92c624819086dbb12b4f6b78d3 completed March 27, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eec89dc881908ca7a8a8849b87f7 completed March 27, 2026, 8:55 p.m.
Created at: March 27, 2026, 1:42 p.m.