Triple

T7938655
Position Surface form Disambiguated ID Type / Status
Subject Katello E184339 entity
Predicate hasCommandLineInterface P79901 FINISHED
Object true 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: true | Statement: [Katello, hasCommandLineInterface, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCommandLineInterface
Context triple: [Katello, hasCommandLineInterface, true]
  • A. hasCommunicationInterface
    Indicates that one entity provides or supports a specific means or channel through which it can communicate or exchange data with another entity or system.
  • B. hasCommandSystem
    Indicates that one entity possesses, uses, or is associated with a particular command or control system.
  • C. hasCommand
    Indicates that one entity possesses, controls, or is associated with a specific command or directive applied to another entity or process.
  • D. commandLineTool
    Indicates that an entity is a software utility intended to be executed and interacted with via a text-based command-line interface.
  • E. hasShell
    Indicates that an entity possesses or is covered by a shell as a physical protective structure.
  • F. None of above. chosen

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_69ca8290c21c8190906a5ca6fe2b03c4 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3af0a2048190838d1aeda59fda0b completed March 31, 2026, 3:09 a.m.
PD Predicate disambiguation batch_69cae93526d081909303265bf60419fd completed March 30, 2026, 9:20 p.m.
PDg Predicate description generation batch_69caf7882b048190baa333af9f698590 completed March 30, 2026, 10:22 p.m.
Created at: March 30, 2026, 5:08 p.m.