Triple

T20276333
Position Surface form Disambiguated ID Type / Status
Subject GA-02 E503025 entity
Predicate hasCity P316 FINISHED
Object Norman Park, Georgia E580232 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: Norman Park, Georgia | Statement: [GA-02, hasCity, Norman Park, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norman Park, Georgia
Context triple: [GA-02, hasCity, Norman Park, Georgia]
  • A. Norman Park, Georgia chosen
    Norman Park, Georgia is a small city in southern Georgia known for its rural character and location within Colquitt County.
  • B. Gresham Park, Georgia
    Gresham Park, Georgia is a residential census-designated community located in the eastern Atlanta metropolitan area.
  • C. Pine Park, Georgia
    Pine Park, Georgia is a small unincorporated rural community located in Grady County in the southern part of the state.
  • D. Belvedere Park, Georgia
    Belvedere Park, Georgia is a suburban census-designated community in the Atlanta metropolitan area located within DeKalb County.
  • E. Forest Park, Georgia
    Forest Park, Georgia is a small suburban city in the Atlanta metropolitan area known for its proximity to Hartsfield–Jackson Atlanta International Airport and its diverse residential communities.
  • 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_69e0b4b0e79c8190bd61f22ef1329fa8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e675e3df68819096fb859bc92a0da1 completed April 20, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a085a21233881908fb835541ae88c70 completed May 16, 2026, 11:50 a.m.
Created at: April 16, 2026, 10:32 a.m.