Triple

T19494602
Position Surface form Disambiguated ID Type / Status
Subject C&W E487736 entity
Predicate achievesConfidentialityBy P92327 FINISHED
Object mixing authentic data with bogus data 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: mixing authentic data with bogus data | Statement: [C&W, achievesConfidentialityBy, mixing authentic data with bogus data]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: achievesConfidentialityBy
Context triple: [C&W, achievesConfidentialityBy, mixing authentic data with bogus data]
  • A. confidentialityProtectedBy
    Indicates that the confidentiality of some information is safeguarded or ensured by a specified protection mechanism, policy, or entity.
  • B. usesModeForConfidentiality chosen
    Indicates that an entity employs a particular mode, method, or mechanism specifically to ensure or enhance the confidentiality of information.
  • C. hasConfidentialityObligation
    Indicates that an entity is bound by a duty to keep certain information secret and not disclose it to unauthorized parties.
  • D. keepsSecretAbout
    Indicates that one entity intentionally withholds or conceals information regarding another specified entity or topic from others.
  • E. confidentialityStatusAtTheTime
    Indicates the level or state of confidentiality that applied to something at a specific point in time.
  • 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63490c16481908423e304d82722d7 completed April 20, 2026, 2:13 p.m.
PD Predicate disambiguation batch_69e4fd7883308190b73912a71a35a835 completed April 19, 2026, 4:06 p.m.
Created at: April 10, 2026, 1:40 p.m.