Triple

T17402855
Position Surface form Disambiguated ID Type / Status
Subject Madison County, Florida E423136 entity
Predicate countySeat P383 FINISHED
Object Madison, 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: Madison, Florida | Statement: [Madison County, Florida, countySeat, Madison, Florida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madison, Florida
Context triple: [Madison County, Florida, countySeat, Madison, Florida]
  • A. Madison, Florida chosen
    Madison, Florida is a small historic city in northern Florida known for its rural charm and location along major east–west transportation routes.
  • B. Wellington, Florida
    Wellington, Florida is an affluent village in Palm Beach County known as a major international equestrian center and winter polo capital of the world.
  • C. Poinciana, Florida
    Poinciana, Florida is a large, master-planned residential community in Central Florida known for its rapid growth and proximity to the Orlando–Kissimmee metropolitan area.
  • D. Melbourne, Florida
    Melbourne, Florida is a coastal city in east-central Florida known for its beaches, aerospace and technology industries, and proximity to the Kennedy Space Center.
  • E. Davenport, Florida
    Davenport, Florida is a small but rapidly growing city in Central Florida known for its proximity to major Orlando-area theme parks and resort communities.
  • 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_69e43b046ad88190a95bbeda4e602514 completed April 19, 2026, 2:16 a.m.
Created at: April 10, 2026, 5:45 a.m.