Triple

T21236198
Position Surface form Disambiguated ID Type / Status
Subject Northwest Georgia E523349 entity
Predicate contains P35 FINISHED
Object Chatsworth, Georgia NE NERFINISHED

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: Chatsworth, Georgia | Statement: [Northwest Georgia, contains, Chatsworth, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chatsworth, Georgia
Context triple: [Northwest Georgia, contains, Chatsworth, Georgia]
  • A. Chatsworth, Georgia chosen
    Chatsworth, Georgia is a small city in Murray County that serves as a gateway to the scenic mountains and outdoor recreation areas of North Georgia.
  • B. Carnesville, Georgia
    Carnesville, Georgia is a small city in northeastern Georgia that serves as the county seat of Franklin County.
  • C. Hartwell, Georgia
    Hartwell, Georgia is a small city in northeastern Georgia that serves as a gateway to outdoor recreation and tourism on Lake Hartwell.
  • D. Locust Grove, Georgia
    Locust Grove, Georgia is a small city in Henry County known for its historic downtown, outlet shopping, and role as a growing suburb in the Atlanta metropolitan area.
  • E. Mount Vernon, Georgia
    Mount Vernon, Georgia is a small city in southeastern Georgia that serves as the administrative and cultural center of Montgomery County.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b513b89c81908b27147e91368db2 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735202c7481909c642ddaafb40671 completed April 21, 2026, 8:28 a.m.
Created at: April 16, 2026, 3:46 p.m.