Triple

T180885
Position Surface form Disambiguated ID Type / Status
Subject Europe/London E3872 entity
Predicate ianaTimeZoneId P6294 FINISHED
Object Europe/London 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: Europe/London | Statement: [Europe/London, ianaTimeZoneId, Europe/London]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ianaTimeZoneId
Context triple: [Europe/London, ianaTimeZoneId, Europe/London]
  • A. capitalTimeZoneOf
    Indicates that a specified time zone is the primary or official time zone in which a given capital city is located or operates.
  • B. isNorthAmericanTimeZone
    Indicates that a given time zone is located within the North American region.
  • C. isOneHourAheadOf
    Indicates that one entity’s local time is exactly one hour later than the other entity’s local time.
  • D. timeZoneType
    Indicates the classification or category of a time zone associated with an entity (e.g., standard, daylight, or specific time zone format/type).
  • E. locatedInTimeZone
    Indicates that an entity exists or an event occurs within the temporal bounds defined by a specific time zone.
  • 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_69a25497e2f08190a040f8c6e1842643 completed Feb. 28, 2026, 2:36 a.m.
NER Named-entity recognition batch_69a25901a9188190b8f510bec8c8e7f2 completed Feb. 28, 2026, 2:54 a.m.
PD Predicate disambiguation batch_69a2566ccc288190add5624ede96d82b completed Feb. 28, 2026, 2:43 a.m.
PDg Predicate description generation batch_69a2575e7c7c819095167d8a862c255a completed Feb. 28, 2026, 2:47 a.m.
Created at: Feb. 28, 2026, 2:40 a.m.