Triple

T11301626
Position Surface form Disambiguated ID Type / Status
Subject The Dixie Stop E267605 entity
Predicate settingIn P1957 FINISHED
Object Bluebell, Alabama E352473 NE FINISHED

How this triple was built (3 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: Bluebell, Alabama | Statement: [The Dixie Stop, settingIn, Bluebell, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bluebell, Alabama
Context triple: [The Dixie Stop, settingIn, Bluebell, Alabama]
  • A. Bluebell, Alabama chosen
    Bluebell, Alabama is a fictional small Southern town featured as the primary setting in the television series "Hart of Dixie."
  • B. Berry, Alabama
    Berry, Alabama is a small rural town in western Alabama known for its tight-knit community and location within Fayette County.
  • C. Brent, Alabama
    Brent, Alabama is a small city in central Alabama known for its rural character and location within Bibb County.
  • D. Billingsley, Alabama
    Billingsley, Alabama is a small rural town in central Alabama known for its close-knit community and agricultural surroundings.
  • E. McCalla, Alabama
    McCalla, Alabama is an unincorporated community in Jefferson and Tuscaloosa counties known for its suburban character and proximity to Birmingham and historic sites like Tannehill Ironworks.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: settingIn
Context triple: [The Dixie Stop, settingIn, Bluebell, Alabama]
  • A. setting chosen
    Indicates the place, time, or context in which an event, action, or interaction occurs.
  • B. coversSetting
    Indicates that one entity includes or addresses a particular setting or context within its scope.
  • C. featuresSetting
    Indicates that something includes, presents, or highlights a particular setting as a notable or primary aspect.
  • D. settingControlled
    Indicates that one entity regulates, adjusts, or determines the configuration or parameters of another entity.
  • E. signalsSetting
    Indicates that one entity conveys or triggers information about a particular setting or configuration for another entity.
  • F. None of above.

Provenance (4 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9a4aad4819097384e1b591be2e3 completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d31322d48190aa93b7707ba6fb47 completed April 20, 2026, 7:17 a.m.
PD Predicate disambiguation batch_69d787a6ca2c8190afdc24b61ccd3f8a completed April 9, 2026, 11:04 a.m.
Created at: April 8, 2026, 9:32 p.m.