Triple

T6885291
Position Surface form Disambiguated ID Type / Status
Subject Kardenakhi E158902 entity
Predicate hasAppellation P29604 FINISHED
Object Kardenakhi E158902 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: Kardenakhi | Statement: [Kardenakhi, hasAppellation, Kardenakhi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kardenakhi
Context triple: [Kardenakhi, hasAppellation, Kardenakhi]
  • A. Kardenakhi chosen
    Kardenakhi is a Georgian village in the Kakheti region renowned for producing high-quality wines under its own appellation.
  • B. Dojrani
    Dojrani is a settlement situated near Lake Dojran, known for its proximity to this transboundary lake between North Macedonia and Greece.
  • C. Kobuleti
    Kobuleti is a Georgian Black Sea resort town known for its long pebble beaches and role as a popular holiday destination in the autonomous region of Adjara.
  • D. Kamenitsa
    Kamenitsa is a prominent mountain peak in Bulgaria’s Pirin range, known for its rugged alpine terrain and scenic hiking routes.
  • E. Mesnali
    Mesnali is a small village in Innlandet county, Norway, situated near Lillehammer and known for its rural setting and proximity to outdoor recreational areas.
  • 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_69c688342f6c8190ad7eea6ba262db99 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d90bc32c8190baf5bf785146f3e8 completed March 27, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c742dc8d608190b2a8e9c1f46e1420 completed March 28, 2026, 2:54 a.m.
Created at: March 27, 2026, 2:23 p.m.