Triple

T16571870
Position Surface form Disambiguated ID Type / Status
Subject Eureka, Nunavut E402606 entity
Predicate isPartOf P10 FINISHED
Object Canadian Arctic research network
The Canadian Arctic research network is a coordinated system of northern research stations and facilities that supports scientific study of Arctic environments, climate, and ecosystems across Canada’s polar regions.
E1221351 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: Canadian Arctic research network | Statement: [Eureka, Nunavut, isPartOf, Canadian Arctic research network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Canadian Arctic research network
Context triple: [Eureka, Nunavut, isPartOf, Canadian Arctic research network]
  • A. International Arctic Research Center
    The International Arctic Research Center is a leading research institute focused on understanding Arctic climate, environmental change, and their global impacts.
  • B. Arctic Monitoring and Assessment Programme
    The Arctic Monitoring and Assessment Programme is a scientific working group that evaluates and reports on pollution, climate change, and environmental health in the Arctic region to inform policy decisions.
  • C. McGill Arctic Research Station
    McGill Arctic Research Station is a remote Canadian research facility in the High Arctic used for studying polar environments, climate change, and glaciology.
  • D. Canadian Arctic transportation network
    The Canadian Arctic transportation network is the interconnected system of marine, air, and limited land routes that enable the movement of people, goods, and resources across Canada’s remote northern and Arctic regions.
  • E. Canadian High Arctic
    The Canadian High Arctic is a remote, sparsely populated polar region of northern Canada characterized by extreme cold, sea ice, tundra landscapes, and unique wildlife adapted to harsh Arctic conditions.
  • 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: Canadian Arctic research network
Triple: [Eureka, Nunavut, isPartOf, Canadian Arctic research network]
Generated description
The Canadian Arctic research network is a coordinated system of northern research stations and facilities that supports scientific study of Arctic environments, climate, and ecosystems across Canada’s polar regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Canadian Arctic research network
Target entity description: The Canadian Arctic research network is a coordinated system of northern research stations and facilities that supports scientific study of Arctic environments, climate, and ecosystems across Canada’s polar regions.
  • A. International Arctic Research Center
    The International Arctic Research Center is a leading research institute focused on understanding Arctic climate, environmental change, and their global impacts.
  • B. Arctic Monitoring and Assessment Programme
    The Arctic Monitoring and Assessment Programme is a scientific working group that evaluates and reports on pollution, climate change, and environmental health in the Arctic region to inform policy decisions.
  • C. McGill Arctic Research Station
    McGill Arctic Research Station is a remote Canadian research facility in the High Arctic used for studying polar environments, climate change, and glaciology.
  • D. Canadian Arctic transportation network
    The Canadian Arctic transportation network is the interconnected system of marine, air, and limited land routes that enable the movement of people, goods, and resources across Canada’s remote northern and Arctic regions.
  • E. Canadian High Arctic
    The Canadian High Arctic is a remote, sparsely populated polar region of northern Canada characterized by extreme cold, sea ice, tundra landscapes, and unique wildlife adapted to harsh Arctic conditions.
  • 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_69d8838648088190acf97ef11fc3f61b completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35959f1748190934b263d6bc94143 completed April 18, 2026, 10:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006ee8812c81908ef74636bf39d44a completed May 10, 2026, 11:41 a.m.
NEDg Description generation batch_6a0070024cb4819092ee0ce1320f0905 completed May 10, 2026, 11:46 a.m.
NED2 Entity disambiguation (via description) batch_6a00707959a081909fc04947624abbe5 completed May 10, 2026, 11:48 a.m.
Created at: April 10, 2026, 5:16 a.m.