Triple

T4719809
Position Surface form Disambiguated ID Type / Status
Subject Yakutia E104734 entity
Predicate containsSettlement P847 FINISHED
Object Oymyakon
Oymyakon is a remote rural locality in Russia’s Sakha Republic known as one of the coldest permanently inhabited places on Earth.
E468723 NE FINISHED

How this triple was built (4 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: Oymyakon | Statement: [Yakutia, containsSettlement, Oymyakon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oymyakon
Context triple: [Yakutia, containsSettlement, Oymyakon]
  • A. Verkhoyansk
    Verkhoyansk is a small town in the Sakha Republic of Russia known as one of the coldest permanently inhabited places on Earth.
  • B. Mirny
    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.
  • C. Longyearbyen
    Longyearbyen is the world’s northernmost permanent settlement and the largest town in the Norwegian Arctic archipelago of Svalbard.
  • D. Pechenga
    Pechenga is a region in Russia’s far northwest, near the Barents Sea and the Norwegian border, historically known as Petsamo when it belonged to Finland.
  • E. Apatity
    Apatity is an industrial and scientific town in Russia’s Murmansk Oblast, known for its phosphate mining and research institutes within the Arctic Kola Peninsula region.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Oymyakon
Triple: [Yakutia, containsSettlement, Oymyakon]
Generated description
Oymyakon is a remote rural locality in Russia’s Sakha Republic known as one of the coldest permanently inhabited places on Earth.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Oymyakon
Target entity description: Oymyakon is a remote rural locality in Russia’s Sakha Republic known as one of the coldest permanently inhabited places on Earth.
  • A. Verkhoyansk
    Verkhoyansk is a small town in the Sakha Republic of Russia known as one of the coldest permanently inhabited places on Earth.
  • B. Mirny
    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.
  • C. Longyearbyen
    Longyearbyen is the world’s northernmost permanent settlement and the largest town in the Norwegian Arctic archipelago of Svalbard.
  • D. Pechenga
    Pechenga is a region in Russia’s far northwest, near the Barents Sea and the Norwegian border, historically known as Petsamo when it belonged to Finland.
  • E. Apatity
    Apatity is an industrial and scientific town in Russia’s Murmansk Oblast, known for its phosphate mining and research institutes within the Arctic Kola Peninsula region.
  • F. None of above. chosen

Provenance (5 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_69bd43ec4a348190bc41afae43375e71 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6428e9e081908ce4041183cad13b completed March 20, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43a4c23481908c60a0a6ec0226b2 completed March 21, 2026, 7:07 a.m.
NEDg Description generation batch_69be450d99c88190b63ec471a57c3c0f completed March 21, 2026, 7:13 a.m.
NED2 Entity disambiguation (via description) batch_69be45a1d8b88190a5b0c6be49532f1a completed March 21, 2026, 7:15 a.m.
Created at: March 20, 2026, 1:18 p.m.