Triple

T4227104
Position Surface form Disambiguated ID Type / Status
Subject Calhoun County, Florida E94484 entity
Predicate seat P75 FINISHED
Object Blountstown, Florida E319867 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: Blountstown, Florida | Statement: [Calhoun County, Florida, seat, Blountstown, Florida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blountstown, Florida
Context triple: [Calhoun County, Florida, seat, Blountstown, Florida]
  • A. Blountstown, Florida chosen
    Blountstown, Florida is a small city in Calhoun County known as a regional hub in Florida’s rural Panhandle.
  • B. Lovett, Florida
    Lovett, Florida is a small unincorporated rural community located in Madison County in the northern part of the state.
  • C. Copeland, Florida
    Copeland, Florida is a small unincorporated community in southwestern Florida, located near the Big Cypress National Preserve and the Everglades.
  • D. Layton, Florida
    Layton, Florida is a small coastal city in the Florida Keys located on Long Key in Monroe County.
  • E. Ochopee, Florida
    Ochopee, Florida is a tiny unincorporated community in the Florida Everglades best known for having one of the smallest post offices in the United States.
  • 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_69b3453700a08190ae88792e3dc63207 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e5003008190834726e46df3ee9b completed March 12, 2026, 11:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b627c8265881908a9bfdb032389151 completed March 15, 2026, 3:30 a.m.
Created at: March 12, 2026, 11:04 p.m.