Triple

T389129
Position Surface form Disambiguated ID Type / Status
Subject Thuluth script E8843 entity
Predicate languageUsedFor P8513 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: [Thuluth script, languageUsedFor, Arabic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arabic
Context triple: [Thuluth script, languageUsedFor, 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. 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.
  • E. Gulf Arabic
    Gulf Arabic is a regional variety of the Arabic language spoken primarily in the countries bordering the Persian Gulf, characterized by distinct phonological and lexical features.
  • 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: languageUsedFor
Context triple: [Thuluth script, languageUsedFor, Arabic]
  • A. languagesSpoken
    Indicates that an entity is able to communicate using one or more specified languages.
  • B. languageOfExpression chosen
    Indicates that a particular language is used as the medium or form in which an expression (such as a text, utterance, or work) is realized.
  • C. languageOfWorkOrName
    Indicates the language in which a work is created or a name is expressed.
  • D. programmingLanguage
    Indicates that one entity is a programming language used to create, control, or interact with the other entity.
  • E. languageOfOperation
    Indicates the language in which an entity (such as a system, service, or process) primarily operates or functions.
  • 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_69a2e7f55c60819097aff65ea2ca2832 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec5988708190aa86d9460cecf050 completed Feb. 28, 2026, 1:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69a447f8fac481909c4848ca9b789bc3 completed March 1, 2026, 2:06 p.m.
PD Predicate disambiguation batch_69a2e96960608190bdd342da9c5ddb5e completed Feb. 28, 2026, 1:11 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.