Triple

T13632031
Position Surface form Disambiguated ID Type / Status
Subject Ola, Georgia E325742 entity
Predicate county P75 FINISHED
Object Henry County E1052394 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: Henry County | Statement: [Ola, Georgia, county, Henry County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry County
Context triple: [Ola, Georgia, county, Henry County]
  • A. Henry County
    Henry County is a county located in the southeastern part of the U.S. state of Alabama.
  • B. Henry County chosen
    Henry County is a county in the U.S. state of Georgia, located south of Atlanta and part of the Atlanta metropolitan area.
  • C. Kelan County
    Kelan County is a county in Xinzhou, Shanxi Province, China, known for its proximity to the Taiyuan Satellite Launch Center, one of the country’s major space launch facilities.
  • D. Blount County
    Blount County is a county in eastern Tennessee known for encompassing part of the Great Smoky Mountains and serving as a suburban and recreational area near Knoxville.
  • E. Blount County
    Blount County is a county in north-central Alabama known for its rural communities, scenic landscapes, and historic covered bridges.
  • 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbe9ea9088190a17270dec82bbcaa completed April 12, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bad771881908280e3d96be068fc completed May 8, 2026, 3:42 a.m.
Created at: April 9, 2026, 9:51 p.m.