Triple

T18208605
Position Surface form Disambiguated ID Type / Status
Subject Zhibiani E435969 entity
Predicate near P350 FINISHED
Object Chazhashi 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: Chazhashi | Statement: [Zhibiani, near, Chazhashi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chazhashi
Context triple: [Zhibiani, near, Chazhashi]
  • A. Chazhashi chosen
    Chazhashi is a historic village in Georgia’s Svaneti region, renowned for its medieval stone towers and traditional mountain architecture.
  • B. Tashelhiyt
    Tashelhiyt is a variety of the Shilha Berber language spoken primarily by Amazigh communities in southwestern Morocco.
  • C. Shekkacho language
    The Shekkacho language is an Afroasiatic Omotic language spoken primarily by the Shekka people in the Sheka Zone of southwestern Ethiopia.
  • D. Kennyo
    Kennyo was a 16th-century Japanese Jōdo Shinshū Buddhist monk and militant leader who headed the Ishiyama Hongan-ji fortress and resisted Oda Nobunaga’s unification efforts.
  • E. Burushaski
    Burushaski is a language isolate spoken by the Burusho people in northern Pakistan, particularly in the Hunza, Nagar, and Yasin valleys of Gilgit-Baltistan.
  • 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e2261a848190b62a8485009f8f38 completed April 19, 2026, 2:09 p.m.
Created at: April 10, 2026, 10:32 a.m.