Triple

T21977053
Position Surface form Disambiguated ID Type / Status
Subject Shiloh Church E542731 entity
Predicate nearbyCity P350 FINISHED
Object Savannah, Tennessee 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: Savannah, Tennessee | Statement: [Shiloh Church, nearbyCity, Savannah, Tennessee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Savannah, Tennessee
Context triple: [Shiloh Church, nearbyCity, Savannah, Tennessee]
  • A. Savannah, Tennessee chosen
    Savannah, Tennessee is a small city in Hardin County along the Tennessee River, known for its proximity to Pickwick Lake and Civil War history, including the nearby Shiloh National Military Park.
  • B. Sevierville, Tennessee
    Sevierville, Tennessee is a small city in the eastern part of the state known as the hometown of Dolly Parton and a gateway to the Great Smoky Mountains.
  • C. Calhoun, Tennessee
    Calhoun, Tennessee is a small town in southeastern Tennessee known for its rural character and location along the Hiwassee River.
  • D. Rutledge, Tennessee
    Rutledge, Tennessee is a small city in eastern Tennessee that serves as the administrative and commercial hub of Grainger County.
  • E. Southside, Tennessee
    Southside, Tennessee is a rural unincorporated community located in Montgomery County in the north-central part of the state.
  • 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_69e0c48070988190909db97667b9a0ac completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12489889c81909c847cf2f6808d85 completed April 28, 2026, 9:20 p.m.
Created at: April 16, 2026, 8:03 p.m.