Triple

T16351570
Position Surface form Disambiguated ID Type / Status
Subject Tusheti E397072 entity
Predicate partOf P40 FINISHED
Object Kakheti region E15768 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: Kakheti region | Statement: [Tusheti, partOf, Kakheti region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kakheti region
Context triple: [Tusheti, partOf, Kakheti region]
  • A. Kakheti chosen
    Kakheti is a historic region in eastern Georgia renowned as the country’s primary wine-producing area and a center of Georgian cultural heritage.
  • B. Kartli-Kakheti
    Kartli-Kakheti was an 18th-century eastern Georgian kingdom that served as the political and cultural center of Georgia before its annexation by the Russian Empire.
  • C. Kvemo Kartli
    Kvemo Kartli is a region in southeastern Georgia known for its ethnically diverse population, agricultural production, and industrial centers such as Rustavi.
  • D. Shida Kartli
    Shida Kartli is a central region of Georgia known for its historical significance and agricultural production, with Gori as one of its main cities.
  • E. Imereti region of Georgia
    The Imereti region of Georgia is a historic western area centered around the city of Kutaisi, known for its rich cultural heritage, monasteries, caves, and scenic landscapes.
  • 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2facbf60c8190aa47d4c45ff59354 completed April 18, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c4e6d548190b895a76a4a7268dd completed May 10, 2026, 8:05 a.m.
Created at: April 10, 2026, 5:07 a.m.