Triple

T22025297
Position Surface form Disambiguated ID Type / Status
Subject Sam’s Gap E543943 entity
Predicate near P350 FINISHED
Object Erwin, 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: Erwin, Tennessee | Statement: [Sam’s Gap, near, Erwin, Tennessee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Erwin, Tennessee
Context triple: [Sam’s Gap, near, Erwin, Tennessee]
  • A. Erwin, Tennessee chosen
    Erwin, Tennessee is a small town in northeastern Tennessee known for its scenic Appalachian setting and proximity to outdoor recreation along the Nolichucky River.
  • B. Erin, Tennessee
    Erin, Tennessee is a small city in Houston County known for its strong Irish heritage and annual Irish Day celebration.
  • C. Bransford, Tennessee
    Bransford, Tennessee is a small unincorporated rural community located in Sumner County in the northern part of the state.
  • D. Nunnelly, Tennessee
    Nunnelly, Tennessee is an unincorporated rural community located in Hickman County in the U.S. state of Tennessee.
  • E. Waverly, Tennessee
    Waverly, Tennessee is a small city in Humphreys County known as a local commercial and governmental center in the western portion of Middle Tennessee.
  • 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_69e11e2e8ea4819084210fe06d3a1b8d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127cba61c8190a48ec2c1ee1315b0 completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:23 p.m.