Triple

T14088051
Position Surface form Disambiguated ID Type / Status
Subject Charlotte County, Florida E339048 entity
Predicate contains P35 FINISHED
Object Englewood, Florida E1077662 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: Englewood, Florida | Statement: [Charlotte County, Florida, contains, Englewood, Florida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Englewood, Florida
Context triple: [Charlotte County, Florida, contains, Englewood, Florida]
  • A. Englewood, Florida chosen
    Englewood, Florida is a coastal community on the Gulf of Mexico known for its beaches, boating, and relaxed small-town atmosphere.
  • B. Westville, Florida
    Westville, Florida is a small rural town located in the Florida Panhandle.
  • C. Edgewood, Florida
    Edgewood, Florida is a small residential city in central Florida that forms part of the Orlando metropolitan area.
  • D. Lauderhill, Florida
    Lauderhill, Florida is a suburban city in South Florida known for its diverse population and residential communities within the Miami metropolitan area.
  • E. Lakewood, Florida
    Lakewood, Florida is a small community in Walton County best known as the nearest settlement to Britton Hill, the highest natural point in the state.
  • 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5ee1ce88819091c983286289337e completed April 14, 2026, 3:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0a5c9948190805c2e687c8809ff completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:21 p.m.