Triple

T21257519
Position Surface form Disambiguated ID Type / Status
Subject Bolshevik Island E523907 entity
Predicate rankInArchipelagoByArea P143409 FINISHED
Object second largest island of Severnaya Zemlya 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: second largest island of Severnaya Zemlya | Statement: [Bolshevik Island, rankInArchipelagoByArea, second largest island of Severnaya Zemlya]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: rankInArchipelagoByArea
Context triple: [Bolshevik Island, rankInArchipelagoByArea, second largest island of Severnaya Zemlya]
  • A. rankInWorldByArea
    Indicates the position of an entity in a global ordering based on its total area size.
  • B. rankByAreaInCanadaIslands
    Indicates the numerical position of an island in Canada when all Canadian islands are ordered by their land area from largest to smallest.
  • C. rankInBritishIslesByArea
    Indicates the position of an entity in an ordered list of areas specifically within the British Isles, based on its size relative to others.
  • D. rankingBySizeUSIslands
    Indicates the relative order of U.S. islands based on their size, from largest to smallest (or vice versa).
  • E. continentRankByArea
    Indicates the relative position of a continent in an ordered list based on its total land area.
  • 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_69e0b5146c108190adc9adb73e90abff completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735e2f1d48190b566ab4d736fdbc4 completed April 21, 2026, 8:31 a.m.
PD Predicate disambiguation batch_69e5f61239708190ab7b3c83ae848a0d completed April 20, 2026, 9:46 a.m.
PDg Predicate description generation batch_69e5f9943ed881909ef49045c5bcf6df completed April 20, 2026, 10:01 a.m.
Created at: April 16, 2026, 3:58 p.m.