Triple

T408749
Position Surface form Disambiguated ID Type / Status
Subject North Pole E9439 entity
Predicate hasDaylightPattern P955 FINISHED
Object six months continuous daylight 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: six months continuous daylight | Statement: [North Pole, hasDaylightPattern, six months continuous daylight]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDaylightPattern
Context triple: [North Pole, hasDaylightPattern, six months continuous daylight]
  • A. hasDaylightSavingVariant
    Indicates that one time-related entity is the daylight saving time version or counterpart of another standard-time entity.
  • B. observesDaylightSavingWith
    Indicates that one entity follows the same daylight saving time rules or schedule as another entity.
  • C. hasTimeOfDay
    Indicates that a situation, event, or state occurs during, or is associated with, a specific part of the day (e.g., morning, afternoon, evening, night).
  • D. hasSeasonalPattern chosen
    Indicates that the occurrence, intensity, or characteristics of something regularly vary according to a recurring seasonal cycle.
  • E. observesDaylightSavingTime
    Indicates that an entity adjusts its standard time forward and backward according to a daylight saving time schedule.
  • 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_69a2e80111fc8190961d5b7c6154123f completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ecbf0650819080753815ca280eec completed Feb. 28, 2026, 1:25 p.m.
PD Predicate disambiguation batch_69a2e971a3a481909e6b075f25dd234a completed Feb. 28, 2026, 1:11 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.