Triple

T2983972
Position Surface form Disambiguated ID Type / Status
Subject Milton, Georgia E80576 entity
Predicate borders P224 FINISHED
Object Roswell, Georgia E75815 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: Roswell, Georgia | Statement: [Milton, Georgia, borders, Roswell, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roswell, Georgia
Context triple: [Milton, Georgia, borders, Roswell, Georgia]
  • A. Roswell, Georgia chosen
    Roswell, Georgia is a suburban city in the Atlanta metropolitan area known for its historic downtown, antebellum homes, and Chattahoochee River recreation.
  • B. Warner Robins, Georgia
    Warner Robins, Georgia is a mid-sized city in central Georgia best known for its close association with Robins Air Force Base and its strong military and aerospace presence.
  • C. Kennesaw, Georgia
    Kennesaw, Georgia is a suburban city in Cobb County northwest of Atlanta, known for its Civil War history, including the nearby Kennesaw Mountain National Battlefield Park.
  • D. Arlington, Georgia
    Arlington, Georgia is a small rural city in the southwestern part of the state known historically for its agricultural economy and tight-knit community.
  • E. Geneva, Georgia
    Geneva, Georgia is a small rural town located in west-central Georgia in the United States.
  • 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_69ad8b15f6ac8190be5fd16a33edcb4f completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99c481fc81909971c96352a881b4 completed March 8, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e81339d08190aa74556cc68fba20 completed March 12, 2026, 4:21 p.m.
Created at: March 8, 2026, 2:59 p.m.