Triple

T19677779
Position Surface form Disambiguated ID Type / Status
Subject Appalachian region of North Carolina E472500 entity
Predicate contains P35 FINISHED
Object Waynesville NE NERFINISHED

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: Waynesville | Statement: [Appalachian region of North Carolina, contains, Waynesville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waynesville
Context triple: [Appalachian region of North Carolina, contains, Waynesville]
  • A. Waynesville, North Carolina chosen
    Waynesville, North Carolina is a small town in the Blue Ridge Mountains known as a gateway to the Great Smoky Mountains and a popular destination for outdoor recreation and mountain culture.
  • B. Lenoir City
    Lenoir City is a small Tennessee city that functions as a suburban community within the greater Knoxville metropolitan area.
  • C. Hendersonville
    Hendersonville is a small unincorporated community in Pennsylvania, United States.
  • D. Hendersonville
    Hendersonville is a small city in western North Carolina known for its historic downtown, apple orchards, and role as a regional cultural and commercial center.
  • E. Mooresville
    Mooresville is a small town in central Indiana that functions as a suburban community within the greater Indianapolis metropolitan region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e641bceef881909c5b655af709c8c6 completed April 20, 2026, 3:09 p.m.
Created at: April 10, 2026, 1:45 p.m.