Triple

T16866
Position Surface form Disambiguated ID Type / Status
Subject North America E335 entity
Predicate hasTimeZoneRange P109 FINISHED
Object UTC−10 to UTC 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: UTC−10 to UTC | Statement: [North America, hasTimeZoneRange, UTC−10 to UTC]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTimeZoneRange
Context triple: [North America, hasTimeZoneRange, UTC−10 to UTC]
  • A. locatedInTimeZone chosen
    Indicates that an entity exists or an event occurs within the temporal bounds defined by a specific time zone.
  • B. observesDaylightSavingTime
    Indicates that an entity adjusts its standard time forward and backward according to a daylight saving time schedule.
  • C. timePeriod
    Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
  • D. hasRegion
    Indicates that an entity includes, contains, or is associated with a specific geographic or administrative region as part of its scope or structure.
  • E. postalCodeRange
    Indicates that one entity specifies a contiguous range of postal codes applicable to another entity or context.
  • 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_69a23d7ad88c8190bffe8ab091d86642 completed Feb. 28, 2026, 12:57 a.m.
NER Named-entity recognition batch_69a241ea1ea081908e8a81ca97531ba5 completed Feb. 28, 2026, 1:16 a.m.
PD Predicate disambiguation batch_69a23fec1fe8819080da6f2c745dc8fd completed Feb. 28, 2026, 1:07 a.m.
Created at: Feb. 28, 2026, 1:02 a.m.