Triple

T3896921
Position Surface form Disambiguated ID Type / Status
Subject Bats people E90392 entity
Predicate culturalRegion P1968 FINISHED
Object Tusheti E397072 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: Tusheti | Statement: [Bats people, culturalRegion, Tusheti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tusheti
Context triple: [Bats people, culturalRegion, Tusheti]
  • A. Tusheti chosen
    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.
  • B. 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.
  • C. Guria
    Guria is a historical region in western Georgia known for its Black Sea coastline, rich folk traditions, and distinctive polyphonic singing.
  • D. Khevsureti
    Khevsureti is a historic mountainous region in northeastern Georgia known for its medieval stone towers, remote villages, and preserved highland traditions.
  • 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_69aed95d315881908cbf1bf4a7215fbf completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeecd34e608190bf1ca1d0c04562b2 completed March 9, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5284cf70481909e4efa1baf1b8815 completed March 14, 2026, 9:20 a.m.
Created at: March 9, 2026, 3:21 p.m.