Triple

T19789522
Position Surface form Disambiguated ID Type / Status
Subject Juhuri E475371 entity
Predicate selfDesignation P974 FINISHED
Object Juhuro 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: Juhuro | Statement: [Juhuri, selfDesignation, Juhuro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juhuro
Context triple: [Juhuri, selfDesignation, Juhuro]
  • A. Juhuri
    Juhuri are a Jewish ethnic group from the Eastern Caucasus, traditionally speaking Judeo-Tat and maintaining distinct religious and cultural practices.
  • B. Juho
    Juho is a Finnish masculine given name historically borne by several notable figures, including statesmen and cultural personalities.
  • C. Juha
    Juha is a Finnish masculine given name commonly used in Finland and among Finnish speakers.
  • D. Juh
    Juh was a prominent Chiricahua Apache chief and war leader who played a key role in resisting U.S. and Mexican military forces during the Apache Wars.
  • E. Juhurim chosen
    Juhurim are a Jewish ethnic group from the eastern and northern Caucasus, particularly Dagestan and Azerbaijan, with their own distinct language (Juhuri) and cultural traditions.
  • 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6538ae5108190b80eb7de6f445f02 completed April 20, 2026, 4:25 p.m.
Created at: April 10, 2026, 1:49 p.m.