Triple

T33793552
Position Surface form Disambiguated ID Type / Status
Subject ولي عهد المملكة العربية السعودية E866002 entity
Predicate اللغة_الرسمية_للدولة P236 FINISHED
Object اللغة العربية 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: اللغة العربية | Statement: [ولي عهد المملكة العربية السعودية, اللغة_الرسمية_للدولة, اللغة العربية]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: اللغة_الرسمية_للدولة
Context triple: [ولي عهد المملكة العربية السعودية, اللغة_الرسمية_للدولة, اللغة العربية]
  • A. hasLanguageOfficial
    Indicates that a language holds official status within a given entity, such as a country, region, or organization.
  • B. countryOfficialLanguageStatus
    Indicates the status or role that a particular language holds as an official language within a given country.
  • C. officialLanguage chosen
    Indicates that a particular language has been formally designated by an authority as the official language used for government, legal, or administrative purposes in a given jurisdiction.
  • D. hasLanguageOfOfficialName
    Indicates that an entity’s official name is expressed in a specified language.
  • E. declaresOfficialLanguageOf
    Indicates that an authority formally designates a particular language as the official language of a specified entity or jurisdiction.
  • 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_69f3498f99f481909cb271f4965a7594 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f71362f1448190985a80ce7af475cb completed May 3, 2026, 9:20 a.m.
PD Predicate disambiguation batch_69f7127884388190884f23d181a65d19 completed May 3, 2026, 9:16 a.m.
Created at: May 1, 2026, 1:45 a.m.