Triple

T31583915
Position Surface form Disambiguated ID Type / Status
Subject DG/UX E805896 entity
Predicate targetHardwarePlatform P55922 FINISHED
Object Data General AViiON NE NERFINISHED

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: Data General AViiON | Statement: [DG/UX, targetHardwarePlatform, Data General AViiON]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: targetHardwarePlatform
Context triple: [DG/UX, targetHardwarePlatform, Data General AViiON]
  • A. hardwarePlatformFor chosen
    Indicates that one entity serves as the hardware platform on which another entity is designed to run or be deployed.
  • B. targetPlatformGeneration
    Indicates the generation or version of the platform that an action, resource, or entity is specifically intended to run on or be compatible with.
  • C. supportedPlatform
    Indicates that one entity (such as a system, application, or service) is compatible with and can operate on a particular platform.
  • D. targetPlatformFeature
    Indicates that a particular feature is available on, or specifically associated with, a given target platform.
  • E. hasHardwareCompatibilityWith
    Indicates that two hardware components or systems can operate together correctly and reliably without conflicts or incompatibilities.
  • 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_69f348d3a86c8190a3e5e539a4dd125f completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69fd91a5dad8819093eeeef527027890 completed May 8, 2026, 7:32 a.m.
PD Predicate disambiguation batch_69fd8f65fe9081908902500a3228d935 completed May 8, 2026, 7:23 a.m.
Created at: April 30, 2026, 10:24 p.m.