Triple

T3020409
Position Surface form Disambiguated ID Type / Status
Subject Ferghana Valley E82439 entity
Predicate language P15 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: [Ferghana Valley, language, Uzbek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uzbek
Context triple: [Ferghana Valley, language, 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_69ad8b1fb34081908c1b873e2b7273e1 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a940c048190bc46e2c8001db8c0 completed March 8, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e73b5988190be0712f4ddea92f7 completed March 11, 2026, 8:57 a.m.
Created at: March 8, 2026, 3 p.m.