Triple

T12474963
Position Surface form Disambiguated ID Type / Status
Subject Erisioni E298151 entity
Predicate regionRepresented P82 FINISHED
Object Guria E17206 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: Guria | Statement: [Erisioni, regionRepresented, Guria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guria
Context triple: [Erisioni, regionRepresented, Guria]
  • A. Guria chosen
    Guria is a historical region in western Georgia known for its Black Sea coastline, rich folk traditions, and distinctive polyphonic singing.
  • B. Samegrelo
    Samegrelo is a historic region in western Georgia known for its distinct Mingrelian culture, language, and cuisine.
  • C. 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.
  • D. Tusheti
    Tusheti is a remote mountainous region in northeast Georgia known for its medieval villages, pastoral culture, and well-preserved traditions of the local highland communities.
  • E. Pshavi
    Pshavi is a historic highland region in northeastern Georgia known for its mountainous landscapes, traditional villages, and rich folk culture.
  • 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_69d6ada270808190b1a2b2e7b02bb426 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dcb194c81908b5e0320ddfd463c completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e2588b448190b5dc5a5d37fd1897 completed May 3, 2026, 5:51 a.m.
Created at: April 8, 2026, 9:56 p.m.