Triple

T6013200
Position Surface form Disambiguated ID Type / Status
Subject Prattville E133883 entity
Predicate county P75 FINISHED
Object Elmore County E160028 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: Elmore County | Statement: [Prattville, county, Elmore County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elmore County
Context triple: [Prattville, county, Elmore County]
  • A. Elmore County chosen
    Elmore County is a county in central Alabama known for its mix of suburban communities, rural areas, and proximity to the Montgomery metropolitan region.
  • B. Wheeler County
    Wheeler County is a rural county in the eastern Texas Panhandle known for its ranching, agriculture, and small-town communities.
  • C. Wheeler County
    Wheeler County is a rural county in central Georgia known for its small population, agricultural landscape, and location along the Oconee River.
  • D. Blaine County
    Blaine County is a county in central Idaho known for encompassing the resort city of Sun Valley and its surrounding mountainous, outdoor recreation areas.
  • E. Blaine County
    Blaine County is a rural county in northwestern Oklahoma known for its agricultural economy and small-town communities.
  • 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_69c0087361a48190905c6b55969852b8 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f528acc8190bc6943d812460b57 completed March 22, 2026, 8:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c518c29dfc8190a55a54fbe6608dd2 completed March 26, 2026, 11:30 a.m.
Created at: March 22, 2026, 4:06 p.m.