Triple

T4603300
Position Surface form Disambiguated ID Type / Status
Subject Dothan Opera House E100369 entity
Predicate operator P179 FINISHED
Object City of Dothan E124923 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: City of Dothan | Statement: [Dothan Opera House, operator, City of Dothan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Dothan
Context triple: [Dothan Opera House, operator, City of Dothan]
  • A. Dothan chosen
    Dothan is a city in southeastern Alabama known as a regional hub for agriculture and commerce, often referred to as the "Peanut Capital of the World."
  • B. Alexander City
    Alexander City is a small city in central Alabama known historically for its textile industry and proximity to Lake Martin.
  • C. Phenix City
    Phenix City is a city in eastern Alabama located along the Chattahoochee River, directly across from Columbus, Georgia.
  • D. City of Talladega
    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.
  • E. Daphne, Alabama
    Daphne, Alabama is a growing city on the eastern shore of Mobile Bay known for its suburban character, coastal setting, and role as a key community in the Mobile 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_69bd43cbc014819098b45f435908f88a completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5975ec688190839bd22669343a76 completed March 20, 2026, 2:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69be1024cfec819089bd3a23325c9c13 completed March 21, 2026, 3:27 a.m.
Created at: March 20, 2026, 1:11 p.m.