Triple

T13561775
Position Surface form Disambiguated ID Type / Status
Subject Oak Mountain Lake E323925 entity
Predicate county P75 FINISHED
Object Shelby County, Alabama NE NERFINISHED

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: Shelby County, Alabama | Statement: [Oak Mountain Lake, county, Shelby County, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shelby County, Alabama
Context triple: [Oak Mountain Lake, county, Shelby County, Alabama]
  • A. Shelby County, Alabama chosen
    Shelby County, Alabama is a suburban county in central Alabama, known for its fast-growing communities just south of Birmingham and a mix of residential, commercial, and natural areas.
  • B. Jefferson County, Alabama
    Jefferson County, Alabama is an urban county in north-central Alabama that includes Birmingham, the state’s largest city and a major industrial and economic center.
  • C. Shelby County
    Shelby County is a county in central Indiana that forms part of the Indianapolis metropolitan area.
  • D. Shelby County
    Shelby County is a rural county in southwestern Iowa known for its agricultural landscape and small communities.
  • E. Jackson County, Alabama
    Jackson County, Alabama is a northeastern Alabama county in the Appalachian region known for its rugged terrain, caves, and outdoor recreation along rivers and mountains.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaff5219081909cf60423e79d278f completed April 12, 2026, 2:45 p.m.
Created at: April 9, 2026, 9:47 p.m.