Triple

T15647339
Position Surface form Disambiguated ID Type / Status
Subject სამხრეთ კავკასია E376214 entity
Predicate hasConflictRegion P21190 FINISHED
Object სამხრეთ ოსეთი E103023 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: სამხრეთ ოსეთი | Statement: [სამხრეთ კავკასია, hasConflictRegion, სამხრეთ ოსეთი]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: სამხრეთ ოსეთი
Context triple: [სამხრეთ კავკასია, hasConflictRegion, სამხრეთ ოსეთი]
  • A. Ossetia chosen
    Ossetia is a historical and cultural region in the central Caucasus, divided between Russia and Georgia, known as the homeland of the Ossetian people.
  • B. სომხეთი
    სომხეთი არის სამხრეთ კავკასიაში მდებარე მთიანი ქვეყანა, რომელსაც მდიდარი ისტორია და უძველესი ქრისტიანული კულტურული მემკვიდრეობა აქვს.
  • C. Czarna Górna
    Czarna Górna is a village in southeastern Poland located within the administrative district of Gmina Rymanów in the Subcarpathian region.
  • D. Lezgistan
    Lezgistan is a historical region in the eastern Caucasus traditionally inhabited by the Lezgin people.
  • E. Megrelia
    Megrelia is a historic region in western Georgia known for its distinct Mingrelian culture, language, and medieval Christian heritage.
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ed5b8b081908d7127964eed3b09 completed April 16, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff67936e388190913c9060194e5b53 completed May 9, 2026, 4:57 p.m.
Created at: April 10, 2026, 4:15 a.m.