Triple

T6565206
Position Surface form Disambiguated ID Type / Status
Subject Rumi script E153885 entity
Predicate standardizedForLanguage P8032 FINISHED
Object Malay language 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: Malay language | Statement: [Rumi script, standardizedForLanguage, Malay language]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: standardizedForLanguage
Context triple: [Rumi script, standardizedForLanguage, Malay language]
  • A. standardizedFor chosen
    Indicates that something has been adjusted or converted to conform to a common standard, format, or reference so it can be consistently compared or used.
  • B. standardLanguageOf
    Indicates that one entity serves as the officially recognized or commonly used standard language for another entity (such as a country, region, or organization).
  • C. nationalLanguageStandardizedIn
    Indicates that a national language has been formally standardized or codified within a particular country or jurisdiction.
  • D. languageCodeStandard
    Indicates that a language code conforms to a specific standardized coding scheme (such as ISO language code standards).
  • E. standardizedBy
    Indicates that one entity defines, regulates, or formalizes the standards or specifications by which another entity is created, measured, or operated.
  • 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_69c6880cb35881909b763eb0125236b9 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6cc9c6cb0819084fec8e0beb430de completed March 27, 2026, 6:29 p.m.
PD Predicate disambiguation batch_69c6acf93cb48190b54f5dd6febd34dc completed March 27, 2026, 4:14 p.m.
Created at: March 27, 2026, 1:52 p.m.