Triple

T7127844
Position Surface form Disambiguated ID Type / Status
Subject Buena Vista, Georgia E166108 entity
Predicate hasName P744 FINISHED
Object Buena Vista, Georgia E166108 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: Buena Vista, Georgia | Statement: [Buena Vista, Georgia, hasName, Buena Vista, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buena Vista, Georgia
Context triple: [Buena Vista, Georgia, hasName, Buena Vista, Georgia]
  • A. Buena Vista, Georgia chosen
    Buena Vista, Georgia is a small city in west-central Georgia known for its rural character and role as the administrative and cultural hub of Marion County.
  • B. Bogart, Georgia
    Bogart, Georgia is a small town in northeastern Georgia located near the Athens metropolitan area.
  • C. Villa Rica, Georgia
    Villa Rica, Georgia is a small historic city in the Atlanta metropolitan area known for being the site of one of the earliest major gold rushes in the United States.
  • D. Bloomingdale, Georgia
    Bloomingdale, Georgia is a small city in Chatham County that forms part of the greater Savannah metropolitan region in the southeastern United States.
  • E. Fair Oaks, Georgia
    Fair Oaks, Georgia is a small unincorporated community and census-designated place in the Atlanta metropolitan area.
  • 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_69c6888350588190870cd552b427a1cd completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e66b230c819090ddbc5396868305 completed March 27, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7daff33bc8190825078d791ff0b3a completed March 28, 2026, 1:43 p.m.
Created at: March 27, 2026, 2:44 p.m.