Triple

T2175346
Position Surface form Disambiguated ID Type / Status
Subject HyTime E48512 entity
Predicate timeAspect P29111 FINISHED
Object temporal scheduling of media 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: temporal scheduling of media | Statement: [HyTime, timeAspect, temporal scheduling of media]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: timeAspect
Context triple: [HyTime, timeAspect, temporal scheduling of media]
  • A. timePerspective
    Indicates how an entity conceptually relates to or orients itself toward time, such as focusing on past, present, or future.
  • B. temporalAspect chosen
    Indicates the time-related characteristics or phase (such as duration, frequency, or temporal status) associated with an event or relationship.
  • C. timePeriod
    Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
  • D. time
    Indicates a temporal relationship specifying when an event occurs or how entities are ordered or related in time.
  • E. timeExistence
    Indicates the period or duration during which an entity exists or is valid.
  • 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_69a88aa3faa48190995b233af6525815 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc4358fc88190a6f556c2de9fef8c completed March 7, 2026, 6:22 a.m.
PD Predicate disambiguation batch_69abbda0ec948190be88c1243d81a423 completed March 7, 2026, 5:54 a.m.
Created at: March 4, 2026, 7:45 p.m.