Triple

T20190027
Position Surface form Disambiguated ID Type / Status
Subject Family Computer Disk System E492957 entity
Predicate controllerCompatibility P34359 FINISHED
Object standard Famicom controllers 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: standard Famicom controllers | Statement: [Family Computer Disk System, controllerCompatibility, standard Famicom controllers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: controllerCompatibility
Context triple: [Family Computer Disk System, controllerCompatibility, standard Famicom controllers]
  • A. hasHardwareCompatibilityWith chosen
    Indicates that two hardware components or systems can operate together correctly and reliably without conflicts or incompatibilities.
  • B. compatibilityModel
    Indicates that one entity is defined or evaluated according to a specific compatibility framework, standard, or model in relation to another entity.
  • C. isGenerallyCompatibleWith
    Indicates that two entities can typically function or coexist together without significant conflict, issues, or need for special adaptation.
  • D. checksCompatibilityWith
    Indicates that one entity evaluates whether it is compatible or can function harmoniously with another entity.
  • E. hasSoftwareCompatibilityWith
    Indicates that one software system can operate correctly and effectively with another software system, without conflicts or required modifications.
  • 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66ad4d7a88190b70dfb74a2daafba completed April 20, 2026, 6:05 p.m.
PD Predicate disambiguation batch_69e55b11124c8190babacf2a0fe2d057 completed April 19, 2026, 10:45 p.m.
Created at: April 11, 2026, 11:37 p.m.