Triple

T632036
Position Surface form Disambiguated ID Type / Status
Subject Islamic world E15944 entity
Predicate hasLanguage P15 FINISHED
Object Uyghur E27175 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: Uyghur | Statement: [Islamic world, hasLanguage, Uyghur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uyghur
Context triple: [Islamic world, hasLanguage, Uyghur]
  • A. Chagatai Turkic
    Chagatai Turkic is a historical Turkic literary language that served as a major cultural and administrative lingua franca in Central Asia, especially under Turkic-Mongol and Timurid rule.
  • B. Uyghur language (historically) chosen
    The historical Uyghur language refers to earlier Turkic varieties used by the Uyghur people, which were written in scripts such as Perso-Arabic and played a key role in the literary and cultural history of Central Asia.
  • C. Kazakh language
    The Kazakh language is a Turkic language spoken primarily in Kazakhstan and surrounding regions, written today mainly in Cyrillic but also in Latin and Arabic scripts.
  • D. Turkmen language
    The Turkmen language is a Turkic language spoken primarily in Turkmenistan and surrounding regions, closely related to Turkish and other Oghuz languages.
  • E. Kyrgyz
    Kyrgyz is a Turkic language primarily spoken in Kyrgyzstan and surrounding regions of Central Asia.
  • 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_69a4935c131c8190a5378c6bf101e8cc completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49ec2a4c08190bc5c6ce8a10b0967 completed March 1, 2026, 8:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a56c4d84d8819095afbf0ee9c7bd82 completed March 2, 2026, 10:54 a.m.
Created at: March 1, 2026, 7:35 p.m.