Triple

T206522
Position Surface form Disambiguated ID Type / Status
Subject Antarctica E4620 entity
Predicate hasIceCoverage P4991 FINISHED
Object over 95 percent 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: over 95 percent | Statement: [Antarctica, hasIceCoverage, over 95 percent]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasIceCoverage
Context triple: [Antarctica, hasIceCoverage, over 95 percent]
  • A. hasIcebergs
    Indicates that one entity (typically a body of water or region) contains or is characterized by the presence of icebergs.
  • B. hasSeaIce
    Indicates that one entity possesses, contains, or is covered by sea ice in relation to another context or location.
  • C. snowCover
    Indicates that one entity is covered by or blanketed with snow.
  • D. hasSeaIceExtent chosen
    Indicates that a specified area or region possesses a measurable amount or coverage of sea ice over a given space or time.
  • E. hasGlacier
    Indicates that one entity possesses, contains, or is characterized by the presence of a glacier.
  • 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_69a25737567c81908f9c505300239181 completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25e2aba74819093eddd8d820260c0 completed Feb. 28, 2026, 3:16 a.m.
PD Predicate disambiguation batch_69a25b4c7f908190876c1041db52dffc completed Feb. 28, 2026, 3:04 a.m.
Created at: Feb. 28, 2026, 2:51 a.m.