Triple

T5154593
Position Surface form Disambiguated ID Type / Status
Subject Oracle Autonomous Transaction Processing E116278 entity
Predicate automates P30852 FINISHED
Object database tuning 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: database tuning | Statement: [Oracle Autonomous Transaction Processing, automates, database tuning]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: automates
Context triple: [Oracle Autonomous Transaction Processing, automates, database tuning]
  • A. canAutomate chosen
    Indicates that one entity has the capability to perform, control, or execute another entity’s process or task automatically without continuous human intervention.
  • B. assistant
    Indicates that one entity provides help, support, or services to another entity.
  • C. integrates
    Indicates that one entity combines or brings together another entity or set of entities into a unified, functioning whole.
  • D. autonomousFor
    Indicates that one entity operates or makes decisions independently on behalf of, or in place of, another specified context, system, or agent.
  • E. deploys
    Indicates the action of strategically placing or releasing something into operation or use, often in a specific context or location.
  • 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_69bd445d94788190b72e2cc563120995 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79c1354c81908176703b4853c1a4 completed March 20, 2026, 4:45 p.m.
PD Predicate disambiguation batch_69bd77b0fbb88190851e2d7ae1bdcc09 completed March 20, 2026, 4:37 p.m.
Created at: March 20, 2026, 1:44 p.m.