Triple

T17402873
Position Surface form Disambiguated ID Type / Status
Subject Madison County, Florida E423136 entity
Predicate hasCommunity P2605 FINISHED
Object Lee, Florida NE NERFINISHED

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: Lee, Florida | Statement: [Madison County, Florida, hasCommunity, Lee, Florida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lee, Florida
Context triple: [Madison County, Florida, hasCommunity, Lee, Florida]
  • A. Lee, Florida chosen
    Lee, Florida is a small rural town located in northern Florida within Madison County.
  • B. Lloyd, Florida
    Lloyd, Florida is a small unincorporated community in Jefferson County that forms part of the broader Tallahassee metropolitan region.
  • C. Olustee, Florida
    Olustee, Florida is a small unincorporated community in Baker County best known for its proximity to the site of Florida’s largest Civil War battle.
  • D. Ruby, Florida
    Ruby, Florida was the original name of the coastal community that later became known as Jacksonville Beach in Duval County, Florida.
  • E. Lantana, Florida
    Lantana, Florida is a small coastal town in Palm Beach County known for its beaches, marina, and relaxed residential character along the Atlantic shoreline.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d889d710288190bf0f4762801fefae completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43b051cc48190872278ee0b52240d completed April 19, 2026, 2:16 a.m.
Created at: April 10, 2026, 5:45 a.m.