Triple

T21181470
Position Surface form Disambiguated ID Type / Status
Subject GA 27 E521959 entity
Predicate region P40 FINISHED
Object southern 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: southern Georgia | Statement: [GA 27, region, southern Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: southern Georgia
Context triple: [GA 27, region, southern Georgia]
  • A. southern Georgia chosen
    Southern Georgia is a region in the south of the country of Georgia, bordering Turkey and Armenia and known for its diverse landscapes and ethnic composition.
  • B. Southwestern Georgia
    Southwestern Georgia is a region in the southwestern part of the country of Georgia, known for its mountainous landscapes, river valleys, and proximity to the Black Sea.
  • C. Southeast Georgia
    Southeast Georgia is a coastal region of the U.S. state of Georgia known for its marshlands, barrier islands, and historic port cities such as Savannah and Brunswick.
  • D. Southwest Georgia
    Southwest Georgia is a rural region of the U.S. state of Georgia known for its agricultural economy, small towns, and historical ties to the Deep South.
  • E. northern Georgia
    Northern Georgia is a mountainous region of the country of Georgia, known for its dramatic Caucasus landscapes, alpine villages, and popular hiking and skiing destinations.
  • 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_69e0b50ef1d48190b063aa342667df22 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7301da0ac8190a965fee7b6d845e7 completed April 21, 2026, 8:06 a.m.
Created at: April 16, 2026, 3:01 p.m.