Triple

T29364196
Position Surface form Disambiguated ID Type / Status
Subject IBM PCjr E744670 entity
Predicate pcCompatibility P48645 FINISHED
Object partially IBM PC compatible 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: partially IBM PC compatible | Statement: [IBM PCjr, pcCompatibility, partially IBM PC compatible]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: pcCompatibility
Context triple: [IBM PCjr, pcCompatibility, partially IBM PC compatible]
  • A. hasHardwareCompatibilityWith
    Indicates that two hardware components or systems can operate together correctly and reliably without conflicts or incompatibilities.
  • B. isGenerallyCompatibleWith chosen
    Indicates that two entities can typically function or coexist together without significant conflict, issues, or need for special adaptation.
  • C. hasSoftwareCompatibilityWith
    Indicates that one software system can operate correctly and effectively with another software system, without conflicts or required modifications.
  • D. supportsPCConnectivity
    Indicates that one entity enables or is compatible with connection or communication to a personal computer.
  • E. compatibilityModel
    Indicates that one entity is defined or evaluated according to a specific compatibility framework, standard, or model in relation to 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_69f0a79aee588190b490f19d93c6e52d completed April 28, 2026, 12:27 p.m.
NER Named-entity recognition batch_69f6698a5c608190b80127eb9605ab60 completed May 2, 2026, 9:15 p.m.
PD Predicate disambiguation batch_69f660f4f7a88190b93c60d76b86c912 completed May 2, 2026, 8:39 p.m.
Created at: April 28, 2026, 2:21 p.m.