Triple

T1857121
Position Surface form Disambiguated ID Type / Status
Subject Escambia County, Alabama E41727 entity
Predicate countySeat P383 FINISHED
Object Brewton, Alabama E213000 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: Brewton, Alabama | Statement: [Escambia County, Alabama, countySeat, Brewton, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brewton, Alabama
Context triple: [Escambia County, Alabama, countySeat, Brewton, Alabama]
  • A. Brent, Alabama
    Brent, Alabama is a small city in central Alabama known for its rural character and location within Bibb County.
  • B. Lanett, Alabama
    Lanett, Alabama is a small city in eastern Alabama near the Georgia border, historically tied to the textile industry and the Chattahoochee River region.
  • C. East Brewton, Alabama chosen
    East Brewton, Alabama is a small city in southern Alabama located across the Conecuh River from Brewton in Escambia County.
  • D. Riverside, Alabama
    Riverside, Alabama is a small community in St. Clair County known for its location along the Coosa River in central Alabama.
  • E. Waverly, Alabama
    Waverly, Alabama is a small rural town in eastern Alabama known for its tight-knit community and historic Southern character.
  • 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_69a8864a83848190a4ec02721306c511 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb07fc5f08190a195a2f24d7b858a completed March 7, 2026, 4:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69b224711a908190b4be9dfcd7737edd completed March 12, 2026, 2:26 a.m.
Created at: March 4, 2026, 7:33 p.m.