Triple

T135577
Position Surface form Disambiguated ID Type / Status
Subject Swahili language E2738 entity
Predicate lexicalInfluenceFrom P4183 FINISHED
Object Arabic language 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 language | Statement: [Swahili language, lexicalInfluenceFrom, Arabic language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arabic language
Context triple: [Swahili language, lexicalInfluenceFrom, Arabic language]
  • A. Arabic chosen
    Arabic is a Semitic language widely spoken across the Arab world and used as a liturgical language in Islam.
  • B. 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.
  • C. 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.
  • D. Levantine Arabic
    Levantine Arabic is a major colloquial variety of Arabic spoken primarily in the Eastern Mediterranean region, including countries such as Lebanon, Syria, Jordan, and Palestine.
  • E. Judeo-Arabic
    Judeo-Arabic is a group of Arabic dialects historically spoken and written by Jewish communities, typically using the Hebrew script and incorporating Hebrew and Aramaic elements.
  • 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: lexicalInfluenceFrom
Context triple: [Swahili language, lexicalInfluenceFrom, Arabic language]
  • A. influencedLanguage chosen
    Indicates that one language has had an effect on the development, structure, or usage of another language.
  • B. influenced
    Indicates that one entity has affected, shaped, or altered another entity’s state, behavior, or characteristics.
  • C. hasCommonLoanwordsFrom
    Indicates that two languages share loanwords that originate from the same source language.
  • D. influencedWork
    Indicates that one work has had a significant impact on the creation, style, content, or development of another work.
  • E. usedInLanguage
    Indicates that something (such as a word, expression, or symbol) is employed or occurs within a particular language.
  • 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_69a2520c0f3481908b0ed054a2fca8d0 completed Feb. 28, 2026, 2:25 a.m.
NER Named-entity recognition batch_69a257a3ad908190b6a8652f09ae0cbb completed Feb. 28, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2ce3540588190a7e80e5c887dd292 completed Feb. 28, 2026, 11:15 a.m.
PD Predicate disambiguation batch_69a25651b9048190a6277b7fec98c1ea completed Feb. 28, 2026, 2:43 a.m.
Created at: Feb. 28, 2026, 2:30 a.m.