Triple

T18812107
Position Surface form Disambiguated ID Type / Status
Subject Borjomi Gorge E460040 entity
Predicate locatedIn P40 FINISHED
Object Borjomi region 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: Borjomi region | Statement: [Borjomi Gorge, locatedIn, Borjomi region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Borjomi region
Context triple: [Borjomi Gorge, locatedIn, Borjomi region]
  • A. Borjomi
    Borjomi is a Georgian resort town famous for its mineral water springs and scenic location in the Borjomi Gorge.
  • B. Guria
    Guria is a historical region in western Georgia known for its Black Sea coastline, rich folk traditions, and distinctive polyphonic singing.
  • C. Caucasian Mineral Waters region
    The Caucasian Mineral Waters region is a renowned spa and resort area in the North Caucasus of Russia, famous for its therapeutic mineral springs and health tourism.
  • D. Tusheti
    Tusheti is a remote mountainous region in northeast Georgia known for its medieval villages, pastoral culture, and well-preserved traditions of the local highland communities.
  • E. Borjomi Municipality chosen
    Borjomi Municipality is an administrative district in central Georgia, known for its spa town of Borjomi and the surrounding Borjomi-Kharagauli National Park.
  • 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a3dcc7d88190801d9c9202e0e411 completed April 20, 2026, 3:56 a.m.
Created at: April 10, 2026, 11:53 a.m.