Triple

T21726779
Position Surface form Disambiguated ID Type / Status
Subject Tskhumi E536293 entity
Predicate alternativeTransliteration P5923 FINISHED
Object Tskhumi NE NERFINISHED

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: Tskhumi | Statement: [Tskhumi, alternativeTransliteration, Tskhumi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tskhumi
Context triple: [Tskhumi, alternativeTransliteration, Tskhumi]
  • A. Tskhumi chosen
    Tskhumi is the historical name of the city now known as Sukhumi, a major Black Sea port and the capital of the disputed region of Abkhazia.
  • B. Tsakhuri
    Tsakhuri is an alternative name for the Tsakhur language, a Northeast Caucasian language spoken primarily in parts of Azerbaijan and Dagestan.
  • C. Tavaeli
    Tavaeli is a regional dialect of the Kaili language spoken by communities in Central Sulawesi, Indonesia.
  • D. Shekvetili
    Shekvetili is a coastal village and resort area on Georgia’s Black Sea shore, known for its beaches, pine forests, and cultural attractions.
  • E. Chkhaveri
    Chkhaveri is a traditional Georgian grape variety known for producing distinctive, often semi-sweet rosé and red wines, particularly in western Georgia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c46d3284819099a4f9d5a704eb95 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efd973ac648190bb09e20ac1be2d9b completed April 27, 2026, 9:47 p.m.
Created at: April 16, 2026, 6:48 p.m.