Triple

T3869472
Position Surface form Disambiguated ID Type / Status
Subject Baghdati E91946 entity
Predicate partOf P40 FINISHED
Object Imereti region E286488 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: [Baghdati, partOf, Imereti region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Imereti region
Context triple: [Baghdati, partOf, Imereti region]
  • A. Imereti
    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 chosen
    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_69aed9645f348190a9868e7cef56ab7e completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec533828819080f52dae15fdbecd completed March 9, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5f59af660819083785bda45935ae4 completed March 14, 2026, 11:56 p.m.
Created at: March 9, 2026, 3:20 p.m.