Triple

T588190
Position Surface form Disambiguated ID Type / Status
Subject Guria E17206 entity
Predicate borders P224 FINISHED
Object Imereti 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 | Statement: [Guria, borders, Imereti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Imereti
Context triple: [Guria, borders, Imereti]
  • 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. Mtskheta-Mtianeti
    Mtskheta-Mtianeti is a mountainous region in northeastern Georgia known for its historic towns, including the ancient capital Mtskheta, and its role as a cultural and religious center.
  • 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. Kvemo Kartli
    Kvemo Kartli is a region in southeastern Georgia known for its ethnically diverse population, agricultural production, and industrial centers such as Rustavi.
  • 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_69a49379d09c8190ac7e00b24e2810b1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49b9d1e68819096a9b5e7b2e83d6e completed March 1, 2026, 8:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69a518c44ef0819088048289ed31246f completed March 2, 2026, 4:57 a.m.
Created at: March 1, 2026, 7:33 p.m.