Triple

T11682357
Position Surface form Disambiguated ID Type / Status
Subject Lake County, Florida E277648 entity
Predicate contains P35 FINISHED
Object Groveland, Florida E534283 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: Groveland, Florida | Statement: [Lake County, Florida, contains, Groveland, Florida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Groveland, Florida
Context triple: [Lake County, Florida, contains, Groveland, Florida]
  • A. Groveland, Florida chosen
    Groveland, Florida is a small city in Lake County known for its rural character, lakes, and proximity to Central Florida’s scenic highlands.
  • B. Greenville, Florida
    Greenville, Florida is a small rural town in northern Florida best known as the childhood home of musician Ray Charles.
  • C. Glen St. Mary, Florida
    Glen St. Mary, Florida is a small town in northeastern Florida known for its rural character and proximity to the Jacksonville metropolitan area.
  • D. Westville, Florida
    Westville, Florida is a small rural town located in the Florida Panhandle.
  • E. Lovett, Florida
    Lovett, Florida is a small unincorporated rural community located in Madison County in the northern part of 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a462bb2881909238107d34c0a28d completed April 10, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef141134bc81908c0cfb0a3711c115 completed April 27, 2026, 7:45 a.m.
Created at: April 8, 2026, 9:40 p.m.