Triple

T3702814
Position Surface form Disambiguated ID Type / Status
Subject Dixie County, Florida E80818 entity
Predicate containsCommunity P8617 FINISHED
Object Jena, Florida E407061 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: Jena, Florida | Statement: [Dixie County, Florida, containsCommunity, Jena, Florida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jena, Florida
Context triple: [Dixie County, Florida, containsCommunity, Jena, Florida]
  • A. Jena, Florida chosen
    Jena, Florida is a small unincorporated community located along the Gulf Coast in rural Dixie County.
  • B. Holley, Florida
    Holley, Florida is a small unincorporated community in Santa Rosa County in the Florida Panhandle, located near the Gulf Coast.
  • C. Hilliard, Florida
    Hilliard, Florida is a small town in northeastern Florida known for its rural character and location near the Georgia state line.
  • D. Cocoa, Florida
    Cocoa, Florida is a small city on Florida’s Space Coast known for its historic downtown, proximity to Cape Canaveral and Cocoa Beach, and access to the Indian River Lagoon.
  • E. 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.
  • 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_69ad8b1793888190a5f70e4b21dc05a1 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adc54925b48190b23d2a14ef825abc completed March 8, 2026, 6:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5560a42688190b30bce9b7af10db4 completed March 14, 2026, 12:35 p.m.
Created at: March 8, 2026, 3:33 p.m.