Triple

T22636082
Position Surface form Disambiguated ID Type / Status
Subject Phillip Island Grand Prix Circuit E558683 entity
Predicate hasCorner P42380 FINISHED
Object Siberia NE NERFINISHED

How this triple was built (3 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: Siberia | Statement: [Phillip Island Grand Prix Circuit, hasCorner, Siberia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siberia
Context triple: [Phillip Island Grand Prix Circuit, hasCorner, Siberia]
  • A. Siberia
    Siberia is a vast, sparsely populated region in northern Asia known for its harsh climate, rich natural resources, and historical role as a place of exile and major battleground during the Russian Civil War.
  • B. Yakutia
    Yakutia, also known as the Sakha Republic, is a vast, sparsely populated region in northeastern Siberia renowned for its extreme cold, rich mineral resources, and expansive taiga and tundra landscapes.
  • C. Northern Siberia
    Northern Siberia is a vast, sparsely populated Arctic and subarctic region of Russia characterized by tundra landscapes, permafrost, and significant natural gas and oil reserves.
  • D. Sibiril
    Sibiril is a small coastal commune in the Finistère department of Brittany in northwestern France.
  • E. Kolyma region
    The Kolyma region is a remote area in Russia’s Far East, historically notorious for its harsh climate and extensive network of Soviet Gulag labor camps.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Siberia
Target entity description: Siberia is a well-known tight left-hand corner on Australia’s Phillip Island Grand Prix Circuit, noted for its challenging mid-speed line and importance for race pace and overtaking.
  • A. Siberia
    Siberia is a vast, sparsely populated region in northern Asia known for its harsh climate, rich natural resources, and historical role as a place of exile and major battleground during the Russian Civil War.
  • B. Yakutia
    Yakutia, also known as the Sakha Republic, is a vast, sparsely populated region in northeastern Siberia renowned for its extreme cold, rich mineral resources, and expansive taiga and tundra landscapes.
  • C. Northern Siberia
    Northern Siberia is a vast, sparsely populated Arctic and subarctic region of Russia characterized by tundra landscapes, permafrost, and significant natural gas and oil reserves.
  • D. Sibiril
    Sibiril is a small coastal commune in the Finistère department of Brittany in northwestern France.
  • E. Kolyma region
    The Kolyma region is a remote area in Russia’s Far East, historically notorious for its harsh climate and extensive network of Soviet Gulag labor camps.
  • F. None of above. chosen

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_69e245467d9881908d6985bd0db7a1f1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1700e11688190b33e280a653db141 completed April 29, 2026, 2:42 a.m.
Created at: April 17, 2026, 3:03 p.m.