Triple

T13585434
Position Surface form Disambiguated ID Type / Status
Subject Newbourne E324542 entity
Predicate hasTimeZoneInWinter P110171 FINISHED
Object GMT 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: GMT | Statement: [Newbourne, hasTimeZoneInWinter, GMT]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTimeZoneInWinter
Context triple: [Newbourne, hasTimeZoneInWinter, GMT]
  • A. timeInWinter
    Indicates that the specified time interval occurs during the winter season.
  • B. hasNoSeasonalClockChanges
    Indicates that a place or system does not adjust its clocks for seasonal time changes such as daylight saving time.
  • C. isSummerTimeVariantOf
    Indicates that one temporal or time-related entity is the daylight-saving (summer time) version of another standard-time entity.
  • D. hasTimeZoneNote
    Indicates that there is an associated note or annotation providing additional information or clarification about a time zone.
  • E. differenceFromLondonTimeInWinter
    Indicates the time difference between a given location’s local time and London’s local time during the winter season.
  • 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb03310fc819092a56b9f2d73f560 completed April 12, 2026, 2:46 p.m.
PD Predicate disambiguation batch_69dbae18eaf48190809e8b365856cde9 completed April 12, 2026, 2:37 p.m.
PDg Predicate description generation batch_69dbaf9f3bdc8190838539aaef1f422b completed April 12, 2026, 2:43 p.m.
Created at: April 9, 2026, 9:49 p.m.