Triple

T8436100
Position Surface form Disambiguated ID Type / Status
Subject SBus E199225 entity
Predicate hasConfigurationMechanism P8166 FINISHED
Object FCode-based firmware 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: FCode-based firmware | Statement: [SBus, hasConfigurationMechanism, FCode-based firmware]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasConfigurationMechanism
Context triple: [SBus, hasConfigurationMechanism, FCode-based firmware]
  • A. hasConfiguration
    Indicates that an entity is associated with or defined by a particular configuration or setup.
  • B. hasMechanism chosen
    Indicates that one entity operates, functions, or produces an effect through the specified mechanism or process.
  • C. hasAxisConfiguration
    Indicates that one entity specifies or defines the axis arrangement, orientation, or setup used by another entity.
  • D. requiresConfiguration
    Indicates that one entity depends on another to be set up or configured before it can function or be used.
  • E. hasConfigurationFile
    Indicates that an entity is associated with or defined by a specific configuration file.
  • 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_69ca8314cd6c8190a6b8c2a1096e18f3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe30fba4081908bfdef3faf5baceb completed March 31, 2026, 3:06 p.m.
PD Predicate disambiguation batch_69cbd0ec200c8190b0299e2b0b4bdcc2 completed March 31, 2026, 1:49 p.m.
Created at: March 30, 2026, 6:08 p.m.