Triple

T20276331
Position Surface form Disambiguated ID Type / Status
Subject GA-02 E503025 entity
Predicate hasCity P316 FINISHED
Object Sale City, 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: Sale City, Georgia | Statement: [GA-02, hasCity, Sale City, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sale City, Georgia
Context triple: [GA-02, hasCity, Sale City, Georgia]
  • A. Sale City, Georgia chosen
    Sale City, Georgia is a small rural town located in Mitchell County in the southwestern part of the state.
  • B. Peachtree City, Georgia
    Peachtree City, Georgia is a planned suburban city in the Atlanta metropolitan area known for its extensive network of golf cart paths and high quality of life.
  • C. Snellville, Georgia
    Snellville, Georgia is a suburban city in Gwinnett County known for its residential communities, local parks, and proximity to Atlanta.
  • D. Commerce, Georgia
    Commerce, Georgia is a small northeastern Georgia city known for its historic downtown and proximity to major transportation routes like Interstate 85.
  • E. Garden City, Georgia
    Garden City, Georgia is an industrial and residential suburb of Savannah known for its proximity to the Port of Savannah and its role in the region’s transportation and manufacturing sectors.
  • 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_69e0b4b0e79c8190bd61f22ef1329fa8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e675e3df68819096fb859bc92a0da1 completed April 20, 2026, 6:52 p.m.
Created at: April 16, 2026, 10:32 a.m.