Triple

T19511749
Position Surface form Disambiguated ID Type / Status
Subject North Ushba E488172 entity
Predicate partOf P40 FINISHED
Object Ushba 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: Ushba | Statement: [North Ushba, partOf, Ushba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ushba
Context triple: [North Ushba, partOf, Ushba]
  • A. Ushba chosen
    Ushba is a striking double-summited peak in the Caucasus Mountains of Georgia, renowned among climbers for its technical difficulty and dramatic, spire-like profile.
  • B. Uzynagash
    Uzynagash is a rural settlement in southeastern Kazakhstan that serves as a local center within the Almaty Region.
  • C. Usholta
    Usholta is a small settlement located in the mountainous Racha region of northwestern Georgia, known for its remote rural character.
  • D. Ukaan
    Ukaan is a little-documented Niger-Congo language spoken by a small community in southwestern Nigeria.
  • E. Ushguli
    Ushguli is a remote highland village community in Georgia’s Svaneti region, renowned for its medieval stone towers, well-preserved Svan culture, and status as one of the highest continuously inhabited settlements in Europe.
  • 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_69d8e8da8bec819081f400199491ccc3 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6359908fc8190bd05f26d4271d268 completed April 20, 2026, 2:18 p.m.
Created at: April 10, 2026, 1:40 p.m.