Triple

T28609200
Position Surface form Disambiguated ID Type / Status
Subject Generic Security Services Application Programming Interface E724129 entity
Predicate exampleMechanism P92336 FINISHED
Object Kerberos 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: Kerberos | Statement: [Generic Security Services Application Programming Interface, exampleMechanism, Kerberos]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: exampleMechanism
Context triple: [Generic Security Services Application Programming Interface, exampleMechanism, Kerberos]
  • A. mechanismExample chosen
    Indicates that one entity serves as an illustrative example of the mechanism or process by which another entity operates or produces an effect.
  • B. definesMechanism
    Indicates that one entity specifies or explains the underlying process or mechanism by which another entity operates or occurs.
  • C. mechanismBy
    Indicates that one entity occurs, is produced, or is brought about by means of another entity, which serves as its mechanism or causal process.
  • D. mentionsMechanism
    Indicates that one entity explicitly refers to or describes the mechanism, process, or causal pathway by which another entity operates or produces an effect.
  • E. mechanismComponent
    Indicates that one entity functions as a component or part within the structure or operation of another entity conceived as a mechanism.
  • 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_69f01d816d7c8190a1fe27e3434041dc completed April 28, 2026, 2:37 a.m.
NER Named-entity recognition batch_69f676f968d08190a4adba0439b438c9 completed May 2, 2026, 10:13 p.m.
PD Predicate disambiguation batch_69f675ff62c48190a634bbb8896973b9 completed May 2, 2026, 10:09 p.m.
Created at: April 28, 2026, 4:29 a.m.