Triple

T6270605
Position Surface form Disambiguated ID Type / Status
Subject The Day E140523 entity
Predicate includesInstrumentation P1149 FINISHED
Object keyboards 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: keyboards | Statement: [The Day, includesInstrumentation, keyboards]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: includesInstrumentation
Context triple: [The Day, includesInstrumentation, keyboards]
  • A. supportsDynamicInstrumentation
    Indicates that an entity is capable of being instrumented or monitored at runtime without requiring recompilation or restart.
  • B. laterInstrumentation
    Indicates that one entity provides an instrumentation or scoring that occurs after, or is a later version than, the instrumentation associated with another entity.
  • C. originalInstrumentation
    Indicates the relationship between a musical work and the specific instruments or ensemble for which it was initially scored or conceived.
  • D. typicalInstrumentation chosen
    Indicates the usual or standard set of instruments commonly associated with performing or realizing something (such as a work, genre, or piece).
  • E. usesSparseInstrumentation
    Indicates that an entity performs monitoring or data collection with minimal or selectively placed instrumentation rather than comprehensive coverage.
  • 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_69c008cabc4081909723e2547c9d6cc0 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063bb340c8190ab81b249cefa91ca completed March 22, 2026, 9:48 p.m.
PD Predicate disambiguation batch_69c05606fb50819082d1a5a91e5030b6 completed March 22, 2026, 8:50 p.m.
Created at: March 22, 2026, 4:25 p.m.