Triple

T2852871
Position Surface form Disambiguated ID Type / Status
Subject Arkhangelsk Oblast E63131 entity
Predicate hasPart P35 FINISHED
Object Solovetsky Islands E284539 NE 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: Solovetsky Islands | Statement: [Arkhangelsk Oblast, hasPart, Solovetsky Islands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Solovetsky Islands
Context triple: [Arkhangelsk Oblast, hasPart, Solovetsky Islands]
  • A. Solovetsky Islands chosen
    The Solovetsky Islands are a remote archipelago in the White Sea of northern Russia, historically notorious as one of the earliest and most brutal sites of the Soviet Gulag system.
  • B. Wrangel
    Wrangel is a Baltic German noble family name most famously associated with Pyotr Wrangel, a prominent White Army commander during the Russian Civil War.
  • C. Konevets Island
    Konevets Island is a small island in Russia’s Lake Ladoga best known for its historic Orthodox monastery and secluded natural setting.
  • D. Stolbovoy Island
    Stolbovoy Island is a remote, largely uninhabited Arctic island of the New Siberian Islands archipelago in northern Russia.
  • E. Valaam Islands
    The Valaam Islands are a scenic archipelago in northwestern Russia best known for the historic Valaam Monastery and their rugged natural landscapes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ab4c407c408190857d25e027155ce9 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf5e043c8190ac82112abce7262a completed March 7, 2026, 8:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe8e4e0b881908de5c4927609725e completed March 10, 2026, 9:48 a.m.
Created at: March 6, 2026, 10:02 p.m.