Triple

T29406133
Position Surface form Disambiguated ID Type / Status
Subject GNOME Clocks E745780 entity
Predicate supportsTimeZones P204302 FINISHED
Object yes 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: yes | Statement: [GNOME Clocks, supportsTimeZones, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsTimeZones
Context triple: [GNOME Clocks, supportsTimeZones, yes]
  • A. hasTimeZones
    Indicates that an entity is associated with one or more time zones in which it is valid or operates.
  • B. timeZoneDependence
    Indicates how a process, value, or behavior changes or is determined based on the time zone in which it is considered.
  • C. timeZoneRequirement
    Indicates that a specific time zone or set of time zones is required or must be satisfied for the associated entity or activity.
  • D. timeZoneImplication
    Indicates that one time zone condition or setting logically leads to, constrains, or determines another time zone condition or setting.
  • E. hasNumberOfNationalTimeZones
    Indicates the quantity of distinct official time zones that a nation or country uses within its territory.
  • 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_69f0a79eb7d081908c67197a5f347e68 completed April 28, 2026, 12:27 p.m.
NER Named-entity recognition batch_6a0379a4086c8190a83df5570f737e15 completed May 12, 2026, 7:04 p.m.
PD Predicate disambiguation batch_6a037049db848190a6268bf1a8a60223 completed May 12, 2026, 6:24 p.m.
PDg Predicate description generation batch_6a0379a33dc48190a29f72268c8ca8a8 completed May 12, 2026, 7:04 p.m.
Created at: April 28, 2026, 2:54 p.m.