Triple

T1273868
Position Surface form Disambiguated ID Type / Status
Subject Kakheti E15768 entity
Predicate contains P35 FINISHED
Object Tusheti E115345 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: [Kakheti, contains, Tusheti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tusheti
Context triple: [Kakheti, contains, Tusheti]
  • A. 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.
  • B. Guria
    Guria is a historical region in western Georgia known for its Black Sea coastline, rich folk traditions, and distinctive polyphonic singing.
  • C. Khevsureti chosen
    Khevsureti is a historic mountainous region in northeastern Georgia known for its medieval stone towers, remote villages, and preserved highland traditions.
  • D. Samegrelo
    Samegrelo is a historic region in western Georgia known for its distinct Mingrelian culture, language, and cuisine.
  • E. Samtskhe-Javakheti
    Samtskhe-Javakheti is a historical and cultural region in southern Georgia known for its mountainous landscapes, medieval fortresses, and ethnically diverse population.
  • 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_69a4935a94308190bb92555b79032824 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4c06d73608190be87be49c4367072 completed March 1, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbf1fa1148190a8a8a5b3e34946f0 completed March 8, 2026, 12:13 a.m.
Created at: March 1, 2026, 7:50 p.m.