Triple

T5790482
Position Surface form Disambiguated ID Type / Status
Subject Abzhywa dialect E128379 entity
Predicate spokenIn P2266 FINISHED
Object Abkhazia E61586 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: Abkhazia | Statement: [Abzhywa dialect, spokenIn, Abkhazia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abkhazia
Context triple: [Abzhywa dialect, spokenIn, Abkhazia]
  • A. Abkhazia chosen
    Abkhazia is a disputed region on the eastern coast of the Black Sea that declared independence from Georgia and is recognized by only a few countries, including Russia.
  • B. Ossetia
    Ossetia is a historical and cultural region in the central Caucasus, divided between Russia and Georgia, known as the homeland of the Ossetian people.
  • C. South Ossetia
    South Ossetia is a disputed, partially recognized region in the South Caucasus that declared independence from Georgia and has close political and military ties with Russia.
  • D. Lezgistan
    Lezgistan is a historical region in the eastern Caucasus traditionally inhabited by the Lezgin people.
  • E. Republic of Georgia
    The Republic of Georgia is a country at the crossroads of Eastern Europe and Western Asia, known for its mountainous landscapes, ancient Christian heritage, and strategic location in the South Caucasus.
  • 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_69c00845ca68819081a2ce3ecca577f7 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02a5585788190821b8da40259e0e7 completed March 22, 2026, 5:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0bfa9d9348190b8916accca9374f2 completed March 23, 2026, 4:20 a.m.
Created at: March 22, 2026, 3:51 p.m.