Triple

T11988740
Position Surface form Disambiguated ID Type / Status
Subject Glades County E285349 entity
Predicate adjacentTo P224 FINISHED
Object Highlands County E291589 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: Highlands County | Statement: [Glades County, adjacentTo, Highlands County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Highlands County
Context triple: [Glades County, adjacentTo, Highlands County]
  • A. Hendry County
    Hendry County is a rural county in southern Florida known for its agricultural economy and small communities near Lake Okeechobee.
  • B. Highlands County, Florida chosen
    Highlands County, Florida is a largely rural county in south-central Florida known for its citrus agriculture, numerous lakes, and the city of Sebring, home to the Sebring International Raceway.
  • C. Levy County
    Levy County is a rural county in Florida known for its Gulf Coast shoreline, small towns, and natural springs and forests.
  • D. Lee County
    Lee County is a county in eastern Alabama known for being home to the city of Auburn and Auburn University.
  • E. Lee County
    Lee County is a coastal county on Florida’s Gulf Coast known for its beaches, barrier islands, and the city of Fort Myers.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903ae28708190a826bad1624343eb completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007581ba008190a6d558c8f4e861d6 completed May 10, 2026, 12:09 p.m.
Created at: April 8, 2026, 9:46 p.m.