Triple

T23379861
Position Surface form Disambiguated ID Type / Status
Subject Bon Air E593712 entity
Predicate geographicRegion P285 FINISHED
Object Central 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: Central Alabama | Statement: [Bon Air, geographicRegion, Central Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Central Alabama
Context triple: [Bon Air, geographicRegion, Central Alabama]
  • A. Central Alabama chosen
    Central Alabama is a geographic region in the U.S. state of Alabama that includes the Birmingham–Hoover metropolitan area and surrounding communities.
  • B. West Central Alabama
    West Central Alabama is a geographic region of Alabama characterized by its rural communities, small towns, and historically agricultural economy.
  • C. Northern Alabama
    Northern Alabama is a region of the U.S. state of Alabama that culturally and historically aligns more with the Upper South than with the Deep South.
  • D. Northeastern Alabama
    Northeastern Alabama is a largely rural region of the state characterized by small towns, rolling Appalachian foothills, and a mix of agricultural and light industrial communities.
  • E. north-central Alabama
    North-central Alabama is a region of the U.S. state of Alabama characterized by its mix of urban centers like Birmingham and Huntsville, rolling Appalachian foothills, and a diverse industrial and cultural landscape.
  • 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_69e25d268a50819095f2fd479da8ef3f completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a3b6ddfc8190a23d291286f3fe42 completed April 29, 2026, 6:22 a.m.
Created at: April 17, 2026, 5:34 p.m.