Triple

T21660602
Position Surface form Disambiguated ID Type / Status
Subject Southwestern Alabama E534583 entity
Predicate includesCity P3207 FINISHED
Object Atmore, 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: Atmore, Alabama | Statement: [Southwestern Alabama, includesCity, Atmore, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atmore, Alabama
Context triple: [Southwestern Alabama, includesCity, Atmore, Alabama]
  • A. Atmore, Alabama chosen
    Atmore, Alabama is a small city in Escambia County near the Florida state line, known historically for its railroad roots and proximity to several state and federal correctional facilities.
  • B. Robertsdale, Alabama
    Robertsdale, Alabama is a small city in southern Alabama known as a growing residential and agricultural community within the Gulf Coast region.
  • C. Cusseta, Alabama
    Cusseta, Alabama is a small rural town in eastern Alabama known for its quiet community within Chambers County.
  • D. Bon Secour, Alabama
    Bon Secour, Alabama is a small unincorporated fishing community on Alabama’s Gulf Coast known for its seafood industry and historic, rural coastal character.
  • E. Saraland
    Saraland is a suburban city in Mobile County, Alabama, known as part of the Mobile metropolitan area and for its residential communities and local industry.
  • 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_69e0c467e1f48190af2650b19175abc4 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef6c07bcb88190a9864672c20325ff completed April 27, 2026, 2 p.m.
Created at: April 16, 2026, 6:36 p.m.