Triple

T27663153
Position Surface form Disambiguated ID Type / Status
Subject CAA E697169 entity
Predicate tagPurpose P79 FINISHED
Object issue: authorize a CA to issue non-wildcard certificates 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: issue: authorize a CA to issue non-wildcard certificates | Statement: [CAA, tagPurpose, issue: authorize a CA to issue non-wildcard certificates]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: tagPurpose
Context triple: [CAA, tagPurpose, issue: authorize a CA to issue non-wildcard certificates]
  • A. purpose chosen
    Indicates that one entity exists, is done, or is used in order to achieve, support, or serve the goal, function, or intended outcome of another entity.
  • B. notationPurpose
    Indicates that one notation is used with the specific purpose or function of representing, explaining, or supporting another entity or concept.
  • C. traditionalPurpose
    Indicates that something serves a role, function, or use that is established by long-standing custom or tradition.
  • D. accessPurpose
    Indicates that one entity uses or accesses another entity specifically for a defined purpose or intended use.
  • E. scriptPurpose
    Indicates the intended function or role that a script is designed to perform.
  • 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_69ef590b85a4819083ec7c12bd3c9c10 completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69f634a183bc8190bdb59700f8f0a16e completed May 2, 2026, 5:30 p.m.
PD Predicate disambiguation batch_69f62c1a92648190835a2c5250d8c758 completed May 2, 2026, 4:53 p.m.
Created at: April 27, 2026, 2:37 p.m.