Triple

T22623411
Position Surface form Disambiguated ID Type / Status
Subject Opelika City Schools E558348 entity
Predicate city P40 FINISHED
Object Opelika 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: Opelika | Statement: [Opelika City Schools, city, Opelika]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Opelika
Context triple: [Opelika City Schools, city, Opelika]
  • 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. 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.
  • C. Cusseta, Alabama
    Cusseta, Alabama is a small rural town in eastern Alabama known for its quiet community within Chambers County.
  • D. Tuskaloosa
    Tuskaloosa was a paramount chief of the Mississippian culture in the 16th century, known for leading Native American resistance against Spanish explorer Hernando de Soto in what is now the southeastern United States.
  • E. 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.
  • 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_69e24545a8e08190bfa7482a2c725ff1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f16e3b97f8819082ea2b23ff4b2173 completed April 29, 2026, 2:34 a.m.
Created at: April 17, 2026, 3:01 p.m.