Triple

T28595647
Position Surface form Disambiguated ID Type / Status
Subject Malay Wikipedia E723762 entity
Predicate supportsLuaModules P38742 FINISHED
Object yes 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: yes | Statement: [Malay Wikipedia, supportsLuaModules, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsLuaModules
Context triple: [Malay Wikipedia, supportsLuaModules, yes]
  • A. supportsModule chosen
    Indicates that one entity provides compatibility, functionality, or resources necessary for another entity’s module to operate or be used.
  • B. supportsServerSideScripting
    Indicates that a system, platform, or environment is capable of executing server-side scripts to process requests and generate dynamic responses.
  • C. supportsDynamicLoading
    Indicates that an entity is capable of loading components or resources at runtime rather than only at startup or compile time.
  • D. supportsModding
    Indicates that one entity provides the capability or infrastructure for another entity to be modified or extended by users (e.g., via mods or custom content).
  • E. supportsUserDefinedFunctions
    Indicates that an entity allows the creation, registration, and execution of user-defined functions within its operations or environment.
  • 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_69f01d80b1908190980594837604b8c7 completed April 28, 2026, 2:37 a.m.
NER Named-entity recognition batch_6a013632a3048190b05716d803f34716 completed May 11, 2026, 1:51 a.m.
PD Predicate disambiguation batch_6a01309582e48190a05d47d96ffb7a46 completed May 11, 2026, 1:27 a.m.
Created at: April 28, 2026, 4:21 a.m.