Triple

T22311023
Position Surface form Disambiguated ID Type / Status
Subject Auburndale, Florida E551512 entity
Predicate locatedIn P40 FINISHED
Object Polk County metropolitan region — NE NERFINISHED

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: Polk County metropolitan region | Statement: [Auburndale, Florida, locatedIn, Polk County metropolitan region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Polk County metropolitan region
Context triple: [Auburndale, Florida, locatedIn, Polk County metropolitan region]
  • A. Thomas County metropolitan area
    The Thomas County metropolitan area is a small metropolitan region in southern Georgia centered around the city of Thomasville and its surrounding communities in Thomas County.
  • B. Citrus County metropolitan area
    The Citrus County metropolitan area is a small, largely rural micropolitan region in west-central Florida centered on communities like Inverness and Crystal River, known for its natural springs, wildlife, and Gulf Coast access.
  • C. Polk County–Dallas County area
    The Polk County–Dallas County area is a central Iowa region encompassing parts of the Des Moines metropolitan area, including growing suburban communities such as Grimes.
  • D. Cumberland County metropolitan region
    The Cumberland County metropolitan region is a population and economic hub in southern Maine centered around the city of Portland and its surrounding communities.
  • E. Pasco Region
    Pasco Region is an inland administrative region of central Peru known for its Andean highlands, mining activities, and diverse ecosystems ranging from mountains to cloud forests.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Polk County metropolitan region
Target entity description: The Polk County metropolitan region is an urbanized area in central Florida centered around Polk County, encompassing cities such as Auburndale and serving as a regional hub for residential communities, commerce, and transportation between Tampa and Orlando.
  • A. Thomas County metropolitan area
    The Thomas County metropolitan area is a small metropolitan region in southern Georgia centered around the city of Thomasville and its surrounding communities in Thomas County.
  • B. Citrus County metropolitan area
    The Citrus County metropolitan area is a small, largely rural micropolitan region in west-central Florida centered on communities like Inverness and Crystal River, known for its natural springs, wildlife, and Gulf Coast access.
  • C. Polk County–Dallas County area
    The Polk County–Dallas County area is a central Iowa region encompassing parts of the Des Moines metropolitan area, including growing suburban communities such as Grimes.
  • D. Cumberland County metropolitan region
    The Cumberland County metropolitan region is a population and economic hub in southern Maine centered around the city of Portland and its surrounding communities.
  • E. Pasco Region
    Pasco Region is an inland administrative region of central Peru known for its Andean highlands, mining activities, and diverse ecosystems ranging from mountains to cloud forests.
  • F. None of above. chosen

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_69e11e46c0188190800181a4233f28fe completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1574e7fc0819080e3e85001ab2c90 completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:42 p.m.