Triple

T6681667
Position Surface form Disambiguated ID Type / Status
Subject .ge E151996 entity
Predicate registry P86 FINISHED
Object Caucasus Online E612204 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: Caucasus Online | Statement: [.ge, registry, Caucasus Online]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caucasus Online
Context triple: [.ge, registry, Caucasus Online]
  • A. Caucasus Online chosen
    Caucasus Online is a major Georgian telecommunications company that provides internet and related digital services across Georgia.
  • B. Caucasus Online LLC
    Caucasus Online LLC is a Georgian telecommunications company best known as a major internet service provider in Georgia.
  • C. Caucasus borderland
    The Caucasus borderland is a historically contested frontier region between Europe and Asia, known for its rugged mountains, ethnic diversity, and strategic geopolitical significance.
  • D. The Frosty Caucasus
    The Frosty Caucasus is a classic 19th-century mountaineering book by Florence Crauford Grove that chronicles early ascents and explorations in the Caucasus Mountains.
  • E. Caucasus region
    The Caucasus region is a mountainous area at the crossroads of Eastern Europe and Western Asia, known for its diverse cultures, languages, and strategic geopolitical significance.
  • 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_69c687f9977c819097e7f5ada4fe522e completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b11f945481908e1a9f0839c35b5b completed March 27, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c700790c388190bba9f0440470ebf5 completed March 27, 2026, 10:11 p.m.
Created at: March 27, 2026, 2:04 p.m.