Triple

T15845041
Position Surface form Disambiguated ID Type / Status
Subject North Georgia E384192 entity
Predicate contains P35 FINISHED
Object Ellijay E221589 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: Ellijay | Statement: [North Georgia, contains, Ellijay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ellijay
Context triple: [North Georgia, contains, Ellijay]
  • A. Ellijay chosen
    Ellijay is a small mountain town in northern Georgia known for its apple orchards, outdoor recreation, and historic role in the region’s gold-mining era.
  • B. Dawsonville
    Dawsonville is a small city in north Georgia known for its gold rush history and strong ties to stock car racing and NASCAR culture.
  • C. Tallapoosa, Georgia
    Tallapoosa, Georgia is a small city in Haralson County in western Georgia, known for its historic downtown and location near the Alabama state line.
  • D. Waycross, Georgia
    Waycross, Georgia is a small city in southeastern Georgia known as a regional railroad hub and gateway to the Okefenokee Swamp.
  • E. Cartersville
    Cartersville is a city in northwestern Georgia known for its historic downtown, museums, and role as a regional commercial and transportation hub.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e142eb20088190bb45e37ce3291ef2 completed April 16, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa1412c9481909808473e14058033 completed May 9, 2026, 9:04 p.m.
Created at: April 10, 2026, 4:50 a.m.