Triple

T3723548
Position Surface form Disambiguated ID Type / Status
Subject Tashkent E81695 entity
Predicate officialLanguage P236 FINISHED
Object Uzbek E22619 NE FINISHED

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: Uzbek | Statement: [Tashkent, officialLanguage, Uzbek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uzbek
Context triple: [Tashkent, officialLanguage, Uzbek]
  • A. Uzbek chosen
    Uzbek refers to a Turkic ethnic group primarily associated with Uzbekistan and surrounding regions of Central Asia, known for their distinct language, culture, and historical heritage.
  • B. Oghuz Uzbek
    Oghuz Uzbek refers to a historical Turkic group associated with the Oghuz branch that played a key role in the ethnogenesis of the Uzbek people.
  • C. Tajik language
    The Tajik language is a variety of Persian spoken primarily in Tajikistan and written in the Cyrillic script.
  • D. Uzbeks
    Uzbeks are a Turkic ethnic group of Central Asia, primarily associated with Uzbekistan but also forming significant communities in neighboring countries such as Afghanistan.
  • E. Tajiks
    Tajiks are an Iranian ethnic group of Central Asia, primarily inhabiting Tajikistan and parts of Afghanistan and Uzbekistan, known for their Persian cultural and linguistic heritage.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad8b1b7ef081908d2d381bbf54985a completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcaf3f2ec8190a3a8f363cfb762f3 completed March 8, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4ce1b25088190958c427c932641e1 completed March 14, 2026, 2:55 a.m.
Created at: March 8, 2026, 3:34 p.m.