Triple

T2556423
Position Surface form Disambiguated ID Type / Status
Subject Developer Edition E56738 entity
Predicate canBeInstalledOn P31902 FINISHED
Object on-premises servers 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: on-premises servers | Statement: [Developer Edition, canBeInstalledOn, on-premises servers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canBeInstalledOn
Context triple: [Developer Edition, canBeInstalledOn, on-premises servers]
  • A. hasHardwareCompatibilityWith
    Indicates that two hardware components or systems can operate together correctly and reliably without conflicts or incompatibilities.
  • B. hasSoftwareCompatibilityWith
    Indicates that one software system can operate correctly and effectively with another software system, without conflicts or required modifications.
  • C. preinstalledOn
    Indicates that a software or component comes already installed and ready to use on a particular device or system before the user receives it.
  • D. installedAt
    Indicates that something has been set up, placed, or put into operation at a specific location or site.
  • E. supportsInstallation chosen
    Indicates that one entity is capable of enabling, handling, or being compatible with the installation of another entity.
  • 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_69ab4a4bfec081908039988ec4c86e28 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd5a33234819082ad49fa6594b6be completed March 7, 2026, 7:37 a.m.
PD Predicate disambiguation batch_69abd0c8b6f08190a68645db3e8b779a completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:48 p.m.