Triple

T8683047
Position Surface form Disambiguated ID Type / Status
Subject Dmanisi E206084 entity
Predicate locatedIn P40 FINISHED
Object southern Georgia E105403 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: southern Georgia | Statement: [Dmanisi, locatedIn, southern Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: southern Georgia
Context triple: [Dmanisi, locatedIn, 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. 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.
  • C. 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.
  • D. western Georgia
    Western Georgia is the western part of the country of Georgia, encompassing regions along the Black Sea coast and the foothills of the Caucasus Mountains.
  • E. western Georgia
    Western Georgia is a region of the U.S. state of Georgia characterized by rolling hills, small towns, and natural attractions such as lakes, forests, and resort areas.
  • 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_69ca835379688190aa06b9d98e684d58 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4ae9da3c8190866e24970a7aeba3 completed March 31, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf287f05748190b41c606eaae5d0b7 completed April 3, 2026, 2:39 a.m.
Created at: March 30, 2026, 6:32 p.m.