Triple

T19409515
Position Surface form Disambiguated ID Type / Status
Subject Bukhari Tajik E485551 entity
Predicate hasAlternativeName P39 FINISHED
Object Bukhori 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: Bukhori | Statement: [Bukhari Tajik, hasAlternativeName, Bukhori]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bukhori
Context triple: [Bukhari Tajik, hasAlternativeName, Bukhori]
  • A. Bukhori chosen
    Bukhori is a Jewish dialect of Tajik Persian traditionally spoken by the Bukharan Jewish community of Central Asia.
  • B. Bakkhali
    Bakkhali is a seaside town and beach resort on the Bay of Bengal in the Indian state of West Bengal, known for its tranquil beaches and scenic coastal views.
  • C. Bikhauti
    Bikhauti is a traditional regional festival celebrated in the Garhwal area of Uttarakhand, India, marked by local religious rituals and community gatherings.
  • D. Shakhoora
    Shakhoora is a village in Bahrain located within the country's Northern Governorate.
  • E. Bawarchi
    Bawarchi is a 1972 Hindi comedy-drama film directed by Hrishikesh Mukherjee, known for its heartwarming story about a mysterious cook who transforms a quarrelsome joint family.
  • 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e62af3eaa081909e9537a2c57dc6c1 completed April 20, 2026, 1:32 p.m.
Created at: April 10, 2026, 1:37 p.m.