Triple

T13967980
Position Surface form Disambiguated ID Type / Status
Subject Aiken, South Carolina E335975 entity
Predicate near P350 FINISHED
Object Augusta, Georgia E18429 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: Augusta, Georgia | Statement: [Aiken, South Carolina, near, Augusta, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Augusta, Georgia
Context triple: [Aiken, South Carolina, near, Augusta, Georgia]
  • A. Augusta, Georgia chosen
    Augusta, Georgia is a major city in eastern Georgia known for hosting the Masters Tournament in professional golf and for its historic and military significance.
  • B. Augusta
    Augusta was an honorific title used for empresses and other high-ranking women in the Roman and Byzantine Empires, signifying imperial dignity and status.
  • C. Augusta
    Augusta is a major city in eastern Georgia, United States, best known for hosting the annual Masters Tournament in professional golf.
  • D. Augusta
    Augusta is a coastal town and important industrial and port center in southeastern Sicily, Italy.
  • E. Augusta
    Augusta is a noblewoman historically recognized as the daughter of Galla.
  • 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_69d81c61f3508190aaf2ca0dc0002c59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e8c9e988190a84c9ca8a78b515f completed April 14, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd192d09e481909ba3b7522cf661a6 completed May 7, 2026, 10:58 p.m.
Created at: April 9, 2026, 10:18 p.m.