Triple

T473776
Position Surface form Disambiguated ID Type / Status
Subject Svans E9015 entity
Predicate traditionalRegion P1968 FINISHED
Object Svaneti E18229 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: Svaneti | Statement: [Svans, traditionalRegion, Svaneti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Svaneti
Context triple: [Svans, traditionalRegion, Svaneti]
  • A. Svaneti chosen
    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.
  • B. Samtskhe-Javakheti
    Samtskhe-Javakheti is a historical and cultural region in southern Georgia known for its mountainous landscapes, medieval fortresses, and ethnically diverse population.
  • C. Guria
    Guria is a historical region in western Georgia known for its Black Sea coastline, rich folk traditions, and distinctive polyphonic singing.
  • D. Kartli
    Kartli is a historic central region of Georgia that has long been a political and cultural heartland for the Georgian people.
  • E. 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.
  • 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_69a2e7ff81708190b0507a24a997232c completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2f0208c788190a96cdabcf593fda7 completed Feb. 28, 2026, 1:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4e0277eb08190984ff5bcb9f349a0 completed March 2, 2026, 12:56 a.m.
Created at: Feb. 28, 2026, 1:12 p.m.