Triple

T18800308
Position Surface form Disambiguated ID Type / Status
Subject S3 Glacier Instant Retrieval E459739 entity
Predicate apiCompatibility P34360 FINISHED
Object GET Object 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: GET Object | Statement: [S3 Glacier Instant Retrieval, apiCompatibility, GET Object]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: apiCompatibility
Context triple: [S3 Glacier Instant Retrieval, apiCompatibility, GET Object]
  • A. isGenerallyCompatibleWith
    Indicates that two entities can typically function or coexist together without significant conflict, issues, or need for special adaptation.
  • B. hasSoftwareCompatibilityWith chosen
    Indicates that one software system can operate correctly and effectively with another software system, without conflicts or required modifications.
  • C. checksCompatibilityWith
    Indicates that one entity evaluates whether it is compatible or can function harmoniously with another entity.
  • D. hasHardwareCompatibilityWith
    Indicates that two hardware components or systems can operate together correctly and reliably without conflicts or incompatibilities.
  • 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a02332d88190b68feea7f2f86d06 completed April 20, 2026, 3:40 a.m.
PD Predicate disambiguation batch_69e48d16dd34819096e096d0c0e4c15c completed April 19, 2026, 8:06 a.m.
Created at: April 10, 2026, 11:53 a.m.