Triple

T4712479
Position Surface form Disambiguated ID Type / Status
Subject Kazbegi Municipality E104546 entity
Predicate historicalRegion P915 FINISHED
Object Khevi E118967 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: Khevi | Statement: [Kazbegi Municipality, historicalRegion, Khevi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khevi
Context triple: [Kazbegi Municipality, historicalRegion, Khevi]
  • A. Khevi chosen
    Khevi is a historic mountainous region in northeastern Georgia, known for its dramatic gorges, high peaks, and medieval cultural heritage.
  • B. Mtkvari River
    The Mtkvari River, also known as the Kura, is a major river in the South Caucasus that flows through Turkey, Georgia, and Azerbaijan before emptying into the Caspian Sea.
  • C. Alazani River
    The Alazani River is a major river in eastern Georgia and northwestern Azerbaijan, known for flowing through the fertile Alazani Valley, a key wine-producing region of the South Caucasus.
  • D. Bolnisi
    Bolnisi is a town in southern Georgia known for its historic Bolnisi Sioni Cathedral and its diverse cultural heritage.
  • E. Aragvi River
    The Aragvi River is a significant river in Georgia that flows through the Caucasus Mountains and supplies water to the capital city, Tbilisi.
  • 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_69bd43eac3c08190af7e4020c6c3704c completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64064c548190bcaa975bd81cd0d5 completed March 20, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4d7f0bc88190b2e5a2d6cfd16892 completed March 21, 2026, 7:49 a.m.
Created at: March 20, 2026, 1:18 p.m.