Triple

T14302394
Position Surface form Disambiguated ID Type / Status
Subject Banks County E354599 entity
Predicate hasCity P316 FINISHED
Object Homer, Georgia E1091541 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: Homer, Georgia | Statement: [Banks County, hasCity, Homer, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Homer, Georgia
Context triple: [Banks County, hasCity, Homer, Georgia]
  • A. Homer, Georgia chosen
    Homer, Georgia is a small historic town in northeastern Georgia that serves as the administrative and cultural center of Banks County.
  • B. Hartwell, Georgia
    Hartwell, Georgia is a small city in northeastern Georgia that serves as a gateway to outdoor recreation and tourism on Lake Hartwell.
  • C. Guyton, Georgia
    Guyton, Georgia is a small city in southeastern Georgia known for its historic charm and role as a residential community within the Savannah metropolitan area.
  • D. Sylvania, Georgia
    Sylvania, Georgia is a small city in Screven County known as the county seat and a historic community in eastern Georgia.
  • E. Morrow, Georgia
    Morrow, Georgia is a small suburban city in the Atlanta metropolitan area known for housing Clayton State University and various retail and commercial centers.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de717fc2348190bb6ba3109bd2871f completed April 14, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4682f86881908c9fb210bb9e486a completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:12 a.m.