Triple

T4734810
Position Surface form Disambiguated ID Type / Status
Subject Zestaponi E105097 entity
Predicate locatedIn P40 FINISHED
Object Imereti region E16413 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: Imereti region | Statement: [Zestaponi, locatedIn, Imereti region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Imereti region
Context triple: [Zestaponi, locatedIn, Imereti region]
  • A. Imereti chosen
    Imereti is a historical region in western Georgia known for its rich cultural heritage, ancient monasteries, and distinctive cuisine and winemaking traditions.
  • B. Kakheti
    Kakheti is a historic region in eastern Georgia renowned as the country’s primary wine-producing area and a center of Georgian cultural heritage.
  • 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_69bd43ee52048190b81a4f066534ffb3 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd648148b48190ae30631115339ba1 completed March 20, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfdeaa224c8190a115d8af390eea71 completed March 22, 2026, 12:20 p.m.
Created at: March 20, 2026, 1:19 p.m.