Triple

T2409278
Position Surface form Disambiguated ID Type / Status
Subject Linux Kernel Mailing List E50347 entity
Predicate hasTaggingSystem P39267 FINISHED
Object email subject prefixes like [PATCH] and [RFC] 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: email subject prefixes like [PATCH] and [RFC] | Statement: [Linux Kernel Mailing List, hasTaggingSystem, email subject prefixes like [PATCH] and [RFC]]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTaggingSystem
Context triple: [Linux Kernel Mailing List, hasTaggingSystem, email subject prefixes like [PATCH] and [RFC]]
  • A. hasIdentifierSystem
    Indicates that an entity is associated with a particular system or scheme used to assign and manage its identifiers.
  • B. classificationSystem
    Indicates a relationship where an entity is organized or categorized according to a particular classification scheme or taxonomy.
  • C. hasLabel
    Indicates that an entity is associated with a specific textual label or name used to identify or describe it.
  • D. hasVariantSystem
    Indicates that one system is an alternative or variant form of another system within the same general framework or category.
  • E. classificationSystemName
    Indicates the name or label assigned to a particular classification system used to categorize or organize entities.
  • F. None of above. chosen

Provenance (4 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_69a88b0339a88190a1207333cd271cc9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abceab9ce881909ae0a2f34515c11e completed March 7, 2026, 7:07 a.m.
PD Predicate disambiguation batch_69abc5a530e8819094105aa92dfaf6b3 completed March 7, 2026, 6:28 a.m.
PDg Predicate description generation batch_69abceaa42b88190a790355100fede3d completed March 7, 2026, 7:07 a.m.
Created at: March 4, 2026, 7:58 p.m.