Triple

T21771193
Position Surface form Disambiguated ID Type / Status
Subject Mir mine E537431 entity
Predicate cityServed P82 FINISHED
Object Mirny 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: Mirny | Statement: [Mir mine, cityServed, Mirny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mirny
Context triple: [Mir mine, cityServed, Mirny]
  • A. Mirny chosen
    Mirny is a remote mining town in eastern Siberia best known for its massive open-pit diamond mine and role in Russia’s diamond industry.
  • B. Mirny Station
    Mirny Station is a Russian research base in Antarctica that serves as a key hub for scientific studies of the polar environment and climate.
  • C. Ust-Kut
    Ust-Kut is a town in Irkutsk Oblast, Russia, located on the Lena River and known as a regional transport hub with river port and railway connections.
  • D. Naryan-Mar
    Naryan-Mar is a small Arctic port city in northwestern Russia, serving as the administrative and economic center of the Nenets Autonomous Okrug.
  • E. Ust-Ilimsk
    Ust-Ilimsk is a Siberian city in Russia known for its large hydroelectric power station on the Angara River and its role in the region’s timber and energy industries.
  • 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_69e0c470759c819094a215757113562b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f031aea8c88190b4bc57df6f269ba6 completed April 28, 2026, 4:03 a.m.
Created at: April 16, 2026, 6:51 p.m.