Triple

T17664467
Position Surface form Disambiguated ID Type / Status
Subject Clarke County, Alabama E440338 entity
Predicate hasCommunity P2605 FINISHED
Object Coffeeville, 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: Coffeeville, Alabama | Statement: [Clarke County, Alabama, hasCommunity, Coffeeville, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coffeeville, Alabama
Context triple: [Clarke County, Alabama, hasCommunity, Coffeeville, Alabama]
  • A. Coffeeville, Alabama chosen
    Coffeeville, Alabama is a small town in Clarke County known for its historic roots and proximity to the Tombigbee River in southwestern Alabama.
  • B. Springville, Alabama
    Springville, Alabama is a small city in central Alabama known for its historic downtown and proximity to the Birmingham metropolitan area.
  • C. Springfield, Alabama
    Springfield, Alabama is a small unincorporated community in the U.S. state of Alabama.
  • D. Blountsville, Alabama
    Blountsville, Alabama is a small historic town in northern Alabama known for its rural character and role as one of the early settlements in the region.
  • E. Autaugaville, Alabama
    Autaugaville, Alabama is a small rural town in central Alabama known for its agricultural surroundings and close-knit community.
  • 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46ea8accc8190beea0900b0614020 completed April 19, 2026, 5:56 a.m.
Created at: April 10, 2026, 9:54 a.m.