Triple

T11676814
Position Surface form Disambiguated ID Type / Status
Subject Waco, Georgia E277513 entity
Predicate geographicRegion P285 FINISHED
Object western Haralson County E343329 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: western Haralson County | Statement: [Waco, Georgia, geographicRegion, western Haralson County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: western Haralson County
Context triple: [Waco, Georgia, geographicRegion, western Haralson County]
  • A. Haralson County chosen
    Haralson County is a rural county in western Georgia known historically for its location within the Georgia Gold Belt and its small-town communities.
  • B. Garvin County
    Garvin County is a county in south-central Oklahoma known for its agricultural economy, small towns, and location within the state's oil and gas region.
  • C. Henry County
    Henry County is a county located in the southeastern part of the U.S. state of Alabama.
  • D. Childress County
    Childress County is a rural county in the eastern Texas Panhandle known for its agricultural economy and county seat, the city of Childress.
  • 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a46000a48190888ad1a6ade052e3 completed April 10, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef13f12c2481909171a3237064c76d completed April 27, 2026, 7:44 a.m.
Created at: April 8, 2026, 9:40 p.m.