Triple

T17640987
Position Surface form Disambiguated ID Type / Status
Subject Prince of Mingrelia E429222 entity
Predicate historicalRegion P915 FINISHED
Object Samegrelo NE NERFINISHED

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: Samegrelo | Statement: [Prince of Mingrelia, historicalRegion, Samegrelo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samegrelo
Context triple: [Prince of Mingrelia, historicalRegion, Samegrelo]
  • A. Samegrelo chosen
    Samegrelo is a historic region in western Georgia known for its distinct Mingrelian culture, language, and cuisine.
  • B. Samegrelo-Zemo Svaneti
    Samegrelo-Zemo Svaneti is a mountainous region in western Georgia known for its historic Svan towers, rich Megrelian and Svan cultures, and dramatic Caucasus landscapes.
  • C. Guria
    Guria is a historical region in western Georgia known for its Black Sea coastline, rich folk traditions, and distinctive polyphonic singing.
  • D. 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.
  • 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 (2 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_69d889e2c2608190b762e76d9b2262f1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46de50bf481909e938613b38f0202 completed April 19, 2026, 5:53 a.m.
Created at: April 10, 2026, 6:02 a.m.