Triple

T19789497
Position Surface form Disambiguated ID Type / Status
Subject Juhuri E475371 entity
Predicate traditionalLanguage P6149 FINISHED
Object Judeo-Tat 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: Judeo-Tat | Statement: [Juhuri, traditionalLanguage, Judeo-Tat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Judeo-Tat
Context triple: [Juhuri, traditionalLanguage, Judeo-Tat]
  • A. Judeo-Tat chosen
    Judeo-Tat is a Southwest Iranian Jewish language traditionally spoken by Mountain Jews of the eastern Caucasus region.
  • B. Tatarbunary
    Tatarbunary is a small town in the historical Budjak region of southwestern Ukraine, known for its agricultural surroundings and multiethnic local culture.
  • C. Karaim language
    The Karaim language is a severely endangered Turkic language historically spoken by the Karaim people, primarily in Lithuania, Poland, and Crimea, reflecting a unique blend of Turkic, Hebrew, and local linguistic influences.
  • D. Lemko language
    Lemko language is an East Slavic minority language spoken by the Lemko people, primarily in the Carpathian region of Poland, Slovakia, and Ukraine, and often considered a variety of Rusyn.
  • E. Judeo-Kermani
    Judeo-Kermani is a Jewish dialect of Persian traditionally spoken by Jewish communities from the Kerman region of Iran.
  • 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.