Triple

T12235543
Position Surface form Disambiguated ID Type / Status
Subject Lee County, Alabama E291581 entity
Predicate seat P75 FINISHED
Object Opelika, Alabama E132736 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: Opelika, Alabama | Statement: [Lee County, Alabama, seat, Opelika, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Opelika, Alabama
Context triple: [Lee County, Alabama, seat, Opelika, Alabama]
  • A. Opelika chosen
    Opelika is a city in eastern Alabama known for its proximity to Auburn and its role as a regional center for industry and commerce.
  • B. Atmore, Alabama
    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.
  • C. Cusseta, Alabama
    Cusseta, Alabama is a small rural town in eastern Alabama known for its quiet community within Chambers County.
  • D. Hackleburg, Alabama
    Hackleburg, Alabama is a small rural town in northwestern Alabama known historically for its logging industry and for being heavily impacted by the 2011 tornado outbreak.
  • E. Falkville, Alabama
    Falkville, Alabama is a small town in northern Alabama known for its rural character and location within the Huntsville-Decatur metropolitan area.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cb2892c81909a97b3ad6ec2c21b completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a531c62481908eac880e716cf55b completed May 3, 2026, 1:30 a.m.
Created at: April 8, 2026, 9:51 p.m.