Triple

T1082486
Position Surface form Disambiguated ID Type / Status
Subject Malay E23976 entity
Predicate standardizedVariety P5973 FINISHED
Object Standard Malay E23976 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: Standard Malay | Statement: [Malay, standardizedVariety, Standard Malay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Standard Malay
Context triple: [Malay, standardizedVariety, Standard Malay]
  • A. Malay chosen
    Malay is an Austronesian language widely spoken in Southeast Asia and serves as a national or official language in several countries, including Malaysia, Indonesia (as Indonesian), Brunei, and Singapore.
  • B. MALAYSIAN
    MALAYSIAN is the radio callsign used by Malaysia Airlines for its commercial flight operations.
  • C. Old Malay
    Old Malay is an early historical form of the Malay language that served as a major lingua franca and literary language in maritime Southeast Asia.
  • D. Standard English
    Standard English is the widely accepted, codified form of the English language used in formal writing, education, and public communication across English-speaking countries.
  • E. Standard Chinese
    Standard Chinese is the official standardized form of the Chinese language, based primarily on the Beijing dialect of Mandarin and used as the national lingua franca of China.
  • 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: standardizedVariety
Context triple: [Malay, standardizedVariety, Standard Malay]
  • A. standardVarietyBasedIn
    Indicates that a standard or reference variety (such as a language or dialect) is primarily established, recognized, or centered in a particular location or region.
  • B. standardizedBy
    Indicates that one entity defines, regulates, or formalizes the standards or specifications by which another entity is created, measured, or operated.
  • C. standardizedIn
    Indicates that something has been formally defined, regulated, or made uniform within a particular standard, framework, or jurisdiction.
  • D. standardizedFor
    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.
  • E. typicalVariety chosen
    Indicates that one entity is a representative or characteristic example of the variety or type defined by another entity.
  • 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_69a493f1ddf48190a99d54b00e99f8ce completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b95e56948190a1e92367ad7240b7 completed March 1, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac42affbac8190b6b16a1d726d0d35 completed March 7, 2026, 3:22 p.m.
PD Predicate disambiguation batch_69a4b73f4310819086281f8ec67d1a32 completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:42 p.m.