Triple

T11743723
Position Surface form Disambiguated ID Type / Status
Subject Calhoun County, Alabama E279217 entity
Predicate hasCity P316 FINISHED
Object Piedmont, Alabama E640300 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: Piedmont, Alabama | Statement: [Calhoun County, Alabama, hasCity, Piedmont, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Piedmont, Alabama
Context triple: [Calhoun County, Alabama, hasCity, Piedmont, Alabama]
  • A. Piedmont, Alabama chosen
    Piedmont, Alabama is a small city in northeastern Alabama known for its location near the Talladega National Forest and the Chief Ladiga Trail.
  • B. Roanoke, Alabama
    Roanoke, Alabama is a small city in eastern Alabama known for its rural character and role as a local commercial and community hub.
  • C. Sylvania, Alabama
    Sylvania, Alabama is a small rural town in northeastern Alabama known for its close-knit community and location atop Sand Mountain.
  • D. Columbia, Alabama
    Columbia, Alabama is a small town in southeastern Alabama that forms part of the Dothan metropolitan area and is one of the older settlements in Houston County.
  • E. Brent, Alabama
    Brent, Alabama is a small city in central Alabama known for its rural character and location within Bibb County.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4f191388190bd6ef7e80c41ca48 completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f48a1d244c81908628b01afe467023 completed May 1, 2026, 11:10 a.m.
Created at: April 8, 2026, 9:41 p.m.