Triple

T108754
Position Surface form Disambiguated ID Type / Status
Subject Fox E2195 entity
Predicate timeZonePolicy P3413 FINISHED
Object prime time programming fed in multiple U.S. time zones 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: prime time programming fed in multiple U.S. time zones | Statement: [Fox, timeZonePolicy, prime time programming fed in multiple U.S. time zones]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: timeZonePolicy
Context triple: [Fox, timeZonePolicy, prime time programming fed in multiple U.S. time zones]
  • A. timeZoneType
    Indicates the classification or category of a time zone associated with an entity (e.g., standard, daylight, or specific time zone format/type).
  • B. hasTimeZones chosen
    Indicates that an entity is associated with one or more time zones in which it is valid or operates.
  • C. locatedInTimeZone
    Indicates that an entity exists or an event occurs within the temporal bounds defined by a specific time zone.
  • D. capitalTimeZoneOf
    Indicates that a specified time zone is the primary or official time zone in which a given capital city is located or operates.
  • E. timeZoneHistorical
    Indicates that there is a historical time zone relationship, specifying how an entity’s time zone (including offsets, rules, or changes) applied during past periods.
  • 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_69a24fcdaeb48190a2d796677e4b3281 completed Feb. 28, 2026, 2:15 a.m.
NER Named-entity recognition batch_69a25711f6788190a22252ea3a3af394 completed Feb. 28, 2026, 2:46 a.m.
PD Predicate disambiguation batch_69a2563fd2fc819090265edbfe3092d6 completed Feb. 28, 2026, 2:43 a.m.
Created at: Feb. 28, 2026, 2:20 a.m.