Triple

T4139786
Position Surface form Disambiguated ID Type / Status
Subject Kashgar E89243 entity
Predicate ethnicMajority P6147 FINISHED
Object Uyghur E80070 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: [Kashgar, ethnicMajority, Uyghur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uyghur
Context triple: [Kashgar, ethnicMajority, Uyghur]
  • A. Uyghurs chosen
    The Uyghurs are a Turkic-speaking, predominantly Muslim ethnic group native to the Xinjiang region of northwest China, with a distinct culture, language, and history.
  • B. Uyghur Arabic alphabet
    The Uyghur Arabic alphabet is a Perso-Arabic–based script adapted to represent the sounds of the Uyghur language, historically used by Uyghur communities in Central Asia.
  • C. Uyghur Cyrillic alphabet
    The Uyghur Cyrillic alphabet is a Cyrillic-based script historically used by Uyghur communities, particularly in the former Soviet Union, to write the Uyghur language.
  • D. Uyghur Latin alphabet
    The Uyghur Latin alphabet is a romanized writing system developed for the Uyghur language, used primarily in digital communication and linguistic transcription.
  • E. Modern Uyghur
    Modern Uyghur is a Turkic language spoken primarily by the Uyghur people of Xinjiang in northwest China, written in several scripts and serving as a major literary and cultural language of the region.
  • 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_69aed95785788190ae75bcf0cd1cafdf completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0249dd988190bf6826a744e7771f completed March 9, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576ccdf348190a80305485bee354e completed March 14, 2026, 2:55 p.m.
Created at: March 9, 2026, 3:43 p.m.