Triple

T25353754
Position Surface form Disambiguated ID Type / Status
Subject Kapp Bruun E635762 entity
Predicate hasSeaIcePresence P4995 FINISHED
Object frequent 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: frequent | Statement: [Kapp Bruun, hasSeaIcePresence, frequent]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSeaIcePresence
Context triple: [Kapp Bruun, hasSeaIcePresence, frequent]
  • A. hasSeaIce chosen
    Indicates that one entity possesses, contains, or is covered by sea ice in relation to another context or location.
  • B. hasSeaIceExtent
    Indicates that a specified area or region possesses a measurable amount or coverage of sea ice over a given space or time.
  • C. hasSeasonalSeaIce
    Indicates that a body of water is covered by sea ice only during certain seasons or times of the year.
  • D. hasSurroundingSeaIceSeason
    Indicates the period during which a given location is surrounded by sea ice.
  • E. hasIcebergs
    Indicates that one entity (typically a body of water or region) contains or is characterized by the presence of icebergs.
  • 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_69e75a9ac5d881909387ed766e20cd47 completed April 21, 2026, 11:08 a.m.
NER Named-entity recognition batch_69f6b903538481909cffcb6cc1cc0e70 completed May 3, 2026, 2:54 a.m.
PD Predicate disambiguation batch_69f6b626120c819097c9ad04487570d7 completed May 3, 2026, 2:42 a.m.
Created at: April 21, 2026, 1:34 p.m.