Triple

T18714404
Position Surface form Disambiguated ID Type / Status
Subject Терек E457597 entity
Predicate sourceLocation P40 FINISHED
Object Грузия 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: Грузия | Statement: [Терек, sourceLocation, Грузия]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Грузия
Context triple: [Терек, sourceLocation, Грузия]
  • A. Republic of Georgia chosen
    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.
  • 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. Democratic Republic of Georgia
    The Democratic Republic of Georgia was a short-lived independent Georgian state that existed from 1918 to 1921, established after the Russian Empire’s collapse and ended by Soviet invasion.
  • D. Lezgistan
    Lezgistan is a historical region in the eastern Caucasus traditionally inhabited by the Lezgin people.
  • E. Guria
    Guria is a historical region in western Georgia known for its Black Sea coastline, rich folk traditions, and distinctive polyphonic singing.
  • 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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56ab4ee6881908f19558937cbb078 completed April 19, 2026, 11:52 p.m.
Created at: April 10, 2026, 11:50 a.m.