Triple

T6035644
Position Surface form Disambiguated ID Type / Status
Subject Jeff Davis County, Georgia E134412 entity
Predicate hasName P744 FINISHED
Object Jeff Davis County E134412 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: Jeff Davis County | Statement: [Jeff Davis County, Georgia, hasName, Jeff Davis County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeff Davis County
Context triple: [Jeff Davis County, Georgia, hasName, Jeff Davis County]
  • A. Jeff Davis County chosen
    Jeff Davis County is a rural county in southeastern Georgia known for its small-town communities and agricultural landscape.
  • B. Van Zandt County
    Van Zandt County is a rural county in northeastern Texas known for its agricultural heritage and small-town communities.
  • C. Cottle County
    Cottle County is a sparsely populated rural county in north-central Texas known for its ranching, agriculture, and small-town communities.
  • D. Ringgold County
    Ringgold County is a rural county located in the southwestern part of the U.S. state of Iowa.
  • E. 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.
  • 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_69c00875db5c819099dd5bb833ec43c2 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056b4e3ec819089b2d119ea2953fe completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11cf60d00819084bc8405595f7989 completed March 23, 2026, 10:59 a.m.
Created at: March 22, 2026, 4:08 p.m.