Triple

T311809
Position Surface form Disambiguated ID Type / Status
Subject Levantine Arabic E7623 entity
Predicate mutualIntelligibility P7448 FINISHED
Object high with other Levantine varieties LITERAL 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: high with other Levantine varieties | Statement: [Levantine Arabic, mutualIntelligibility, high with other Levantine varieties]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mutualIntelligibility
Context triple: [Levantine Arabic, mutualIntelligibility, high with other Levantine varieties]
  • A. areMutuallyIntelligibleToSomeDegree chosen
    Indicates that two or more languages or communication systems can be at least partially understood by each other’s users without prior learning or translation.
  • B. recognizedAsDistinctLanguageFrom
    Indicates that one language is formally acknowledged or treated as a separate and distinct language from another, rather than as a dialect or variant of it.
  • C. hasCommonLoanwordsFrom
    Indicates that two languages share loanwords that originate from the same source language.
  • D. linguisticallyRelatedTo
    Indicates that two entities are connected through a linguistic relationship, such as sharing a common language, origin, structure, or other language-based association.
  • E. sharesIsoglossWith
    Indicates that two linguistic varieties share a common isogloss, i.e., they exhibit the same geographically bounded linguistic feature or boundary.
  • F. None of above.

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_69a2e7e7af7881908890039d6be4e9b8 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ea49636c8190a69cbd951fc0a4db completed Feb. 28, 2026, 1:14 p.m.
PD Predicate disambiguation batch_69a2e940b9e8819092b821ff17ed026b completed Feb. 28, 2026, 1:10 p.m.
Created at: Feb. 28, 2026, 1:07 p.m.