Triple

T6410446
Position Surface form Disambiguated ID Type / Status
Subject Alabama's 3rd congressional district E127690 entity
Predicate containsCity P294 FINISHED
Object Opelika 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 | Statement: [Alabama's 3rd congressional district, containsCity, Opelika]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Opelika
Context triple: [Alabama's 3rd congressional district, containsCity, 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 (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_69c0083723d88190b1e37b19df162c08 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c068cf81508190bc09e58ec45bc858 completed March 22, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640c141548190b76a21e873c9147d completed March 27, 2026, 8:33 a.m.
Created at: March 22, 2026, 4:41 p.m.