Triple

T14788265
Position Surface form Disambiguated ID Type / Status
Subject Alexander, Georgia E347583 entity
Predicate hasCountySeat P383 FINISHED
Object Waynesboro, Georgia E360693 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: Waynesboro, Georgia | Statement: [Alexander, Georgia, hasCountySeat, Waynesboro, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waynesboro, Georgia
Context triple: [Alexander, Georgia, hasCountySeat, Waynesboro, Georgia]
  • A. Waynesboro, Georgia chosen
    Waynesboro, Georgia is a small historic city in eastern Georgia known for its agricultural surroundings and role as a local economic and cultural center.
  • B. Woodbury, Georgia
    Woodbury, Georgia is a small city in Meriwether County known for its rural character and historic railroad and agricultural roots in west-central Georgia.
  • C. Burwell, Georgia
    Burwell, Georgia is a small unincorporated rural community located in western Georgia.
  • D. Watkinsville, Georgia
    Watkinsville, Georgia is a small city in northeastern Georgia known for its historic charm, arts community, and role as the governmental and cultural center of Oconee County.
  • E. Warrenton, Georgia
    Warrenton, Georgia is a small historic city in east-central Georgia that serves as the county seat of Warren County.
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decaa1e9ec81908d7c26c1c4e43014 completed April 14, 2026, 11:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed318aa908190a59b0def01a9cb16 completed May 9, 2026, 6:24 a.m.
Created at: April 10, 2026, 1:31 a.m.