Triple

T1472939
Position Surface form Disambiguated ID Type / Status
Subject Uyghur language (historically) E27175 entity
Predicate containsLoanwordsFrom P11431 FINISHED
Object Arabic E1330 NE FINISHED

How this triple was built (3 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: Arabic | Statement: [Uyghur language (historically), containsLoanwordsFrom, Arabic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arabic
Context triple: [Uyghur language (historically), containsLoanwordsFrom, Arabic]
  • A. Arabic chosen
    Arabic is a Semitic language widely spoken across the Arab world and used as a liturgical language in Islam.
  • B. Hijazi Arabic
    Hijazi Arabic is a major regional variety of Arabic spoken primarily in western Saudi Arabia, especially in the Hijaz region including cities like Mecca, Medina, and Jeddah.
  • C. Egyptian Arabic
    Egyptian Arabic is the most widely understood modern Arabic dialect, centered in Egypt and heavily influenced by the speech and media of Cairo.
  • D. Sanʽani Arabic
    Sanʽani Arabic is a distinctive variety of Yemeni Arabic spoken in and around the city of Sanaʽa, known for its conservative linguistic features and unique phonology within the Arabic dialect continuum.
  • E. Mesopotamian Arabic
    Mesopotamian Arabic is a major variety of Arabic spoken primarily in Iraq and neighboring regions, characterized by distinctive phonological and grammatical features that set it apart from other Arabic dialects.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: containsLoanwordsFrom
Context triple: [Uyghur language (historically), containsLoanwordsFrom, Arabic]
  • A. hasCommonLoanwordsFrom
    Indicates that two languages share loanwords that originate from the same source language.
  • B. loanwordsFrom chosen
    Indicates that one language has borrowed words from another language.
  • C. languageInfluence
    Indicates that one language has an effect on the development, usage, or characteristics of another language.
  • D. hasCognate
    Indicates that two linguistic forms in different languages share a common historical origin, typically descending from the same ancestral word.
  • E. linguisticallyRelatedTo
    Indicates that two entities are connected through a linguistic relationship, such as sharing a common language, origin, structure, or other language-based association.
  • F. None of above.

Provenance (4 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_69a496d25d6881909dbd84f86d763992 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c5dc90e481908a4935f266bc7850 completed March 1, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad15a98b4c819082bd7aa8e0c82de9 completed March 8, 2026, 6:22 a.m.
PD Predicate disambiguation batch_69a4c48350d88190a81bd149103f93e3 completed March 1, 2026, 10:58 p.m.
Created at: March 1, 2026, 8:01 p.m.