Triple

T19577159
Position Surface form Disambiguated ID Type / Status
Subject Williston, Tennessee E489886 entity
Predicate hasOfficialName P66 FINISHED
Object Williston, Tennessee E489886 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: Williston, Tennessee | Statement: [Williston, Tennessee, hasOfficialName, Williston, Tennessee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Williston, Tennessee
Context triple: [Williston, Tennessee, hasOfficialName, Williston, Tennessee]
  • A. Williston, Tennessee chosen
    Williston, Tennessee is a small rural town located in Fayette County in the western part of the state, east of the Memphis metropolitan area.
  • B. Waterville, Tennessee
    Waterville, Tennessee is an unincorporated community located in Bradley County in southeastern Tennessee.
  • C. Plainview, Tennessee
    Plainview, Tennessee is a small unincorporated rural community located in Union County in the eastern part of the state.
  • D. Walden, Tennessee
    Walden, Tennessee is a small town located on Walden's Ridge in Hamilton County, known for its scenic residential character near Chattanooga.
  • E. Woodbury, Tennessee
    Woodbury, Tennessee is a small town in Cannon County that serves as a local hub in the rural, hilly region of Middle Tennessee.
  • 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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e64025d5d081909dbb0c079d366006 completed April 20, 2026, 3:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a075792581881909443cecc6a9212e4 completed May 15, 2026, 5:27 p.m.
Created at: April 10, 2026, 1:42 p.m.