Triple

T11655602
Position Surface form Disambiguated ID Type / Status
Subject DQS Client E277005 entity
Predicate hasUserInterfaceType P1594 FINISHED
Object graphical user interface 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: graphical user interface | Statement: [DQS Client, hasUserInterfaceType, graphical user interface]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasUserInterfaceType
Context triple: [DQS Client, hasUserInterfaceType, graphical user interface]
  • A. hasCommandLineInterface
    Indicates that an entity provides or supports interaction through a command-line interface (CLI).
  • B. hasInterface
    Indicates that one entity provides, exposes, or is connected through a defined interface to another entity.
  • C. hasMinimalInterface
    Indicates that one entity provides only the smallest necessary set of methods, features, or interaction points required for another entity to use or interact with it.
  • D. userInterface chosen
    Indicates a relationship where one entity serves as the interface or interaction layer through which a user engages with another system, service, or resource.
  • E. usesInterface
    Indicates that one entity interacts with or operates another entity through a specified interface or set of interface methods.
  • 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_69d6aafbb3c081908a9cdb4ecb8d981d completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a3cee010819089cffdbefe5a6efb completed April 10, 2026, 7:16 a.m.
PD Predicate disambiguation batch_69d85ddc780481909a3bc63832fe2bd2 completed April 10, 2026, 2:18 a.m.
Created at: April 8, 2026, 9:39 p.m.