Triple

T23201622
Position Surface form Disambiguated ID Type / Status
Subject Talladega County E580327 entity
Predicate contains P35 FINISHED
Object City of Talladega 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: City of Talladega | Statement: [Talladega County, contains, City of Talladega]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Talladega
Context triple: [Talladega County, contains, City of Talladega]
  • A. City of Talladega chosen
    The City of Talladega is a municipality in east-central Alabama best known for its proximity to the Talladega Superspeedway and its role as the county seat of Talladega County.
  • B. Dogtown, Alabama
    Dogtown, Alabama is a small unincorporated rural community located in DeKalb County in the northeastern part of the state.
  • C. City of Sylacauga
    The City of Sylacauga is a small Alabama city known for its high-quality white marble quarries and historic Southern character.
  • D. Hutch Morgan
    Hutch Morgan is a fictional WWE executive and talent scout in the biographical sports comedy-drama film "Fighting with My Family."
  • E. Skyline, Alabama
    Skyline, Alabama is a small rural town situated on the Cumberland Plateau in northeastern Alabama, known for its scenic mountain views and outdoor recreation opportunities.
  • 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_69e24602ae1481908aaa6bc7ca493867 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f19079c44881909e8677921b08b931 completed April 29, 2026, 5 a.m.
Created at: April 17, 2026, 4:06 p.m.