Triple

T31150089
Position Surface form Disambiguated ID Type / Status
Subject House of Sultan Ismail E794047 entity
Predicate usesLanguageInOfficialCapacity P117460 FINISHED
Object Malay 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 | Statement: [House of Sultan Ismail, usesLanguageInOfficialCapacity, Malay]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesLanguageInOfficialCapacity
Context triple: [House of Sultan Ismail, usesLanguageInOfficialCapacity, Malay]
  • A. usesOfficialLanguageOf
    Indicates that one entity adopts and employs the official language of another entity for communication or formal purposes.
  • B. officialLanguageUse
    Indicates that a particular language is formally designated and used by an authority (such as a government or institution) for official communication, documentation, or functions.
  • C. hasOfficialLanguageOfWork chosen
    Indicates that an entity uses a specified language as its official medium for conducting work or formal activities.
  • D. hasNotableLanguageWithOfficialStatusIn
    Indicates that a language holds an officially recognized and notable status within a specified jurisdiction or region.
  • E. hasOfficialLanguageOfSurroundingCountry
    Indicates that an entity uses as its official language the same language that is official in the country surrounding it.
  • 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_69f224d41bb48190a5621cd1485e3a30 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f6bbbef7a88190b0affdec1d41c1e0 completed May 3, 2026, 3:06 a.m.
PD Predicate disambiguation batch_69f6ba6cef208190bc5cd43d96127004 completed May 3, 2026, 3:01 a.m.
Created at: April 29, 2026, 9:06 p.m.