Triple

T9203966
Position Surface form Disambiguated ID Type / Status
Subject Khatanga River E220921 entity
Predicate countrySubdivision P766 FINISHED
Object Krasnoyarsk Krai E155967 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: Krasnoyarsk Krai | Statement: [Khatanga River, countrySubdivision, Krasnoyarsk Krai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krasnoyarsk Krai
Context triple: [Khatanga River, countrySubdivision, Krasnoyarsk Krai]
  • A. Irkutsk Oblast
    Irkutsk Oblast is a large federal subject of Russia in southeastern Siberia, known for its vast taiga landscapes, significant rivers, and proximity to Lake Baikal.
  • B. Tyumen Oblast
    Tyumen Oblast is a large federal subject in western Siberia, Russia, known for its vast oil and gas reserves and key role in the country’s energy industry.
  • C. Yakutsk region
    The Yakutsk region is a vast, sparsely populated area in northeastern Siberia, Russia, known for its extreme subarctic climate and rich natural resources.
  • D. Krasnoyarsk Krai, Russia chosen
    Krasnoyarsk Krai, Russia is a vast federal subject in central Siberia known for its harsh climate, rich natural resources, and extensive taiga and Arctic territories.
  • E. Tomsk Oblast
    Tomsk Oblast is a large administrative region in southwestern Siberia, Russia, known for its vast taiga forests, significant natural resources, and diverse indigenous populations.
  • 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_69ca83e8e9248190862cf3e41693b310 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd944e6208190adfcc7f75197387d completed April 1, 2026, 8:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69d60d24c6dc819088332a512940a9c8 completed April 8, 2026, 8:09 a.m.
Created at: March 30, 2026, 7:26 p.m.