Triple

T20768377
Position Surface form Disambiguated ID Type / Status
Subject Etorofu Island E511160 entity
Predicate hasSettlement P1068 FINISHED
Object Burevestnik NE NERFINISHED

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: Burevestnik | Statement: [Etorofu Island, hasSettlement, Burevestnik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burevestnik
Context triple: [Etorofu Island, hasSettlement, Burevestnik]
  • A. Burevestnik chosen
    Burevestnik is a small settlement on Iturup Island in the Kuril Islands chain of Russia’s Sakhalin Oblast.
  • B. Orochen
    Orochen is an alternative name for the Evenki language, a Tungusic language spoken by the Evenki people of Siberia and parts of northeastern Asia.
  • C. Vogel
    Vogel is a German-origin surname borne by numerous individuals, including figures in sports, arts, science, and public life.
  • D. Vogel
    Vogel is a prominent mountain and ski resort in the Julian Alps of Slovenia, overlooking Lake Bohinj and popular for hiking, skiing, and panoramic views.
  • E. Belopoeica
    Belopoeica is an ancient Greek treatise by Philo of Byzantium that systematically examines the design and construction of war machines and artillery.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4ca01148190ac018e57e0cab46f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c24fa1b08190b09ab8fcb87b5c01 completed April 21, 2026, 12:18 a.m.
Created at: April 16, 2026, 12:36 p.m.