Triple

T15764221
Position Surface form Disambiguated ID Type / Status
Subject Sopchoppy, Florida E382177 entity
Predicate county P75 FINISHED
Object Wakulla County E389061 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: Wakulla County | Statement: [Sopchoppy, Florida, county, Wakulla County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wakulla County
Context triple: [Sopchoppy, Florida, county, Wakulla County]
  • A. Wakulla County chosen
    Wakulla County is a largely rural county in the Florida Panhandle known for its Gulf Coast shoreline, natural springs, and protected wildlife areas.
  • B. El Dorado County
    El Dorado County is a county in the Sierra Nevada region of Northern California known for its Gold Rush history, outdoor recreation, and proximity to Lake Tahoe.
  • C. Holmes County
    Holmes County is a rural county in the Florida Panhandle known for its small communities, agricultural landscape, and proximity to the Alabama state line.
  • D. Holmes County
    Holmes County is a rural county in Ohio known for its large Amish community and picturesque farmland.
  • E. Holmes County
    Holmes County is a rural county in central Mississippi known for its predominantly African American population, agricultural economy, and significant civil rights history.
  • 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e050b6c9fc8190a1bcf763c4b04b12 completed April 16, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff9099335c8190b6f0fb336b3dc212 completed May 9, 2026, 7:52 p.m.
Created at: April 10, 2026, 4:47 a.m.