Triple

T4233434
Position Surface form Disambiguated ID Type / Status
Subject Chiatura E94634 entity
Predicate administrativeRegion P285 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: [Chiatura, administrativeRegion, Imereti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Imereti
Context triple: [Chiatura, administrativeRegion, 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_69b34537cc6481909cd0a96acbb33ef7 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e65720c819087c4022c774ff7c3 completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdb8f4eab88190b123aca20feb8d63 completed March 20, 2026, 9:15 p.m.
Created at: March 12, 2026, 11:05 p.m.