Triple

T29372140
Position Surface form Disambiguated ID Type / Status
Subject OPM E744881 entity
Predicate timers P60696 FINISHED
Object 2 hardware timers 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: 2 hardware timers | Statement: [OPM, timers, 2 hardware timers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: timers
Context triple: [OPM, timers, 2 hardware timers]
  • A. hasTimer chosen
    Indicates that an entity is associated with or controlled by a timer mechanism that measures or limits a duration or interval.
  • B. timingParameter
    Indicates a relationship where one entity specifies or controls a temporal setting, constraint, or configuration parameter that determines the timing behavior of another entity or process.
  • C. timeLimited
    Indicates that the relationship or action is constrained to occur or remain valid only within a specific, limited time period.
  • D. timescale
    Indicates the temporal scale or duration over which a process, relationship, or effect occurs or is evaluated.
  • E. timingProvider
    Indicates that one entity serves as the source or controller of timing information or synchronization for another entity.
  • 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_69f0a79ba954819094597628112c6091 completed April 28, 2026, 12:27 p.m.
NER Named-entity recognition batch_69f669ab36008190bc2e3c5dbdd2050d completed May 2, 2026, 9:16 p.m.
PD Predicate disambiguation batch_69f66339175c819080bd70f0ff7057b1 completed May 2, 2026, 8:48 p.m.
Created at: April 28, 2026, 2:28 p.m.