Triple

T22056569
Position Surface form Disambiguated ID Type / Status
Subject Walkertown, Tennessee E545030 entity
Predicate hasName P744 FINISHED
Object Walkertown, 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: Walkertown, Tennessee | Statement: [Walkertown, Tennessee, hasName, Walkertown, Tennessee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walkertown, Tennessee
Context triple: [Walkertown, Tennessee, hasName, Walkertown, Tennessee]
  • A. Walkertown, Tennessee chosen
    Walkertown, Tennessee is a small unincorporated community located in rural Hardin County in southwestern Tennessee.
  • B. Watertown, Tennessee
    Watertown, Tennessee is a small town in Wilson County known for its historic downtown, community events, and role as a filming location for movies and music videos.
  • C. 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.
  • D. Wartburg, Tennessee
    Wartburg, Tennessee is a small city in the Cumberland Plateau region known as the administrative and commercial center of Morgan County.
  • E. Williston, Tennessee
    Williston, Tennessee is a small rural town located in Fayette County in the western part of the state, east of the Memphis metropolitan area.
  • 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_69e11e3377c48190890c17407b9527d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128588e0081909056ac8251afe935 completed April 28, 2026, 9:36 p.m.
Created at: April 16, 2026, 8:27 p.m.