Triple

T8870824
Position Surface form Disambiguated ID Type / Status
Subject Adler District E211149 entity
Predicate borders P224 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: [Adler District, borders, Abkhazia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abkhazia
Context triple: [Adler District, borders, 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_69ca838d3c7c8190a849566d5afd2b11 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6126d2f88190979ab25772ee657c completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0772ba2808190b8b7948a09b8dee5 completed April 4, 2026, 2:27 a.m.
Created at: March 30, 2026, 6:51 p.m.