Triple

T9713305
Position Surface form Disambiguated ID Type / Status
Subject Samurzakano E235072 entity
Predicate culturalRegionOf P1968 FINISHED
Object Mingrelia E436803 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: Mingrelia | Statement: [Samurzakano, culturalRegionOf, Mingrelia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mingrelia
Context triple: [Samurzakano, culturalRegionOf, Mingrelia]
  • A. Ossetia
    Ossetia is a historical and cultural region in the central Caucasus, divided between Russia and Georgia, known as the homeland of the Ossetian people.
  • B. Kartli
    Kartli is a historic central region of Georgia that has long been a political and cultural heartland for the Georgian people.
  • C. Guria
    Guria is a historical region in western Georgia known for its Black Sea coastline, rich folk traditions, and distinctive polyphonic singing.
  • D. Megrelia chosen
    Megrelia is a historic region in western Georgia known for its distinct Mingrelian culture, language, and medieval Christian heritage.
  • E. Svaneti
    Svaneti is a remote mountainous region in northwestern Georgia, renowned for its medieval stone tower houses, unique Svan culture and language, and dramatic Caucasus 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_69ca84cd8fa0819090a5e243ceb37003 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e087a1c8190aa62c910f88e8516 completed April 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1e3f844008190b73215136dae6fcd completed April 5, 2026, 4:24 a.m.
Created at: March 30, 2026, 8:19 p.m.