Triple

T16828871
Position Surface form Disambiguated ID Type / Status
Subject SkyCenter E409092 entity
Predicate city P40 FINISHED
Object Gatlinburg E12850 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: Gatlinburg | Statement: [SkyCenter, city, Gatlinburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gatlinburg
Context triple: [SkyCenter, city, Gatlinburg]
  • A. Gatlinburg, Tennessee chosen
    Gatlinburg, Tennessee is a popular resort town in the Great Smoky Mountains known for its tourism, mountain scenery, and access to Great Smoky Mountains National Park.
  • B. Pigeon Forge, Tennessee
    Pigeon Forge, Tennessee is a popular tourist city in the Great Smoky Mountains known for attractions like Dollywood, family entertainment venues, and outlet shopping.
  • C. Knoxville
    Knoxville is a small city in Marion County, Iowa, known for hosting the Knoxville Raceway and the annual Knoxville Nationals sprint car racing event.
  • D. White House, Tennessee
    White House, Tennessee is a small suburban city in the Nashville metropolitan area known for its family-friendly communities and location along Interstate 65.
  • E. Jonesborough
    Jonesborough is a historic town in northeastern Tennessee recognized as the state's oldest town and noted for its well-preserved 18th- and 19th-century architecture.
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b315dbbc81908a1c83069e058770 completed April 18, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dbfb781881908f4d56f523e78f7a completed May 10, 2026, 7:26 p.m.
Created at: April 10, 2026, 5:23 a.m.