Triple

T1990758
Position Surface form Disambiguated ID Type / Status
Subject Meade County, Kentucky E43245 entity
Predicate largestCity P235 FINISHED
Object Brandenburg, Kentucky E222003 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: Brandenburg, Kentucky | Statement: [Meade County, Kentucky, largestCity, Brandenburg, Kentucky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brandenburg, Kentucky
Context triple: [Meade County, Kentucky, largestCity, Brandenburg, Kentucky]
  • A. Brandenburg, Kentucky chosen
    Brandenburg, Kentucky is a small city along the Ohio River that serves as the administrative and commercial hub of Meade County.
  • B. Muldraugh, Kentucky
    Muldraugh, Kentucky is a small city in north-central Kentucky known for its proximity to Fort Knox and its location along U.S. Route 31W.
  • C. Magnolia, Kentucky
    Magnolia, Kentucky is a small unincorporated community in LaRue County located near Hodgenville in central Kentucky.
  • D. Jenkins, Kentucky
    Jenkins, Kentucky is a small coal-mining town in Letcher County in eastern Kentucky, historically tied to the Appalachian coal industry.
  • E. Sonora, Kentucky
    Sonora, Kentucky is a small rural city in central Kentucky known for its location along major transportation routes and its close ties to the surrounding agricultural region.
  • 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_69a88714cf2c819081644be450b8356e completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8451fe8819093531052f4533c36 completed March 7, 2026, 5:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0ad7c254819091159c5362e7a293 completed March 8, 2026, 11:48 p.m.
Created at: March 4, 2026, 7:37 p.m.