Triple

T10268290
Position Surface form Disambiguated ID Type / Status
Subject Bruneian Malay E240766 entity
Predicate primaryLanguageIn P93029 FINISHED
Object Brunei Malay-speaking communities in Brunei 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: Brunei Malay-speaking communities in Brunei | Statement: [Bruneian Malay, primaryLanguageIn, Brunei Malay-speaking communities in Brunei]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryLanguageIn
Context triple: [Bruneian Malay, primaryLanguageIn, Brunei Malay-speaking communities in Brunei]
  • A. primaryLanguageOf
    Indicates that a specified language is the main or official language used by a particular entity (such as a person, organization, or region).
  • B. primaryLanguageSide1
    Indicates that the specified language is the main or dominant language associated with the first participant or side in a relationship.
  • C. primaryLanguageContact
    Indicates that one language serves as the main or dominant medium of communication in a particular contact situation between language communities.
  • D. hasPrimaryLanguage1
    Indicates that an entity’s main or most commonly used language is the specified language.
  • E. primaryLanguageMarket
    Indicates that a particular language is the main or dominant language used within a given market or market segment.
  • F. None of above. chosen

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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2872830819080fdfa816167d04c completed April 7, 2026, 9:46 a.m.
PD Predicate disambiguation batch_69d4d1ef6e6c81908a8ee52e4d28127b completed April 7, 2026, 9:44 a.m.
PDg Predicate description generation batch_69d4d285812c8190ab910dc85c53eebf completed April 7, 2026, 9:46 a.m.
Created at: April 6, 2026, 11:34 a.m.