Triple

T2275034
Position Surface form Disambiguated ID Type / Status
Subject Kazakhs E50749 entity
Predicate relatedEthnicGroup P1969 FINISHED
Object Uzbeks E55981 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: Uzbeks | Statement: [Kazakhs, relatedEthnicGroup, Uzbeks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uzbeks
Context triple: [Kazakhs, relatedEthnicGroup, Uzbeks]
  • A. Uzbeks chosen
    Uzbeks are a Turkic ethnic group of Central Asia, primarily associated with Uzbekistan but also forming significant communities in neighboring countries such as Afghanistan.
  • B. 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.
  • C. 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.
  • D. Kazakhs
    Kazakhs are a Turkic ethnic group native to the Central Asian steppe, known for their nomadic heritage, distinct language, and cultural traditions centered in modern-day Kazakhstan.
  • E. Uzbekistan
    Uzbekistan is a landlocked Central Asian country known for its Silk Road heritage, including historic cities like Samarkand and Bukhara, and for being a major producer of cotton and natural gas.
  • 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_69a88b05910c8190a9a2b1ff230c85f9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc1ebaa148190851952567878b3a1 completed March 7, 2026, 6:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71e01860819082bca15c146b9c64 completed March 9, 2026, 7:08 a.m.
Created at: March 4, 2026, 7:48 p.m.