Triple

T7206705
Position Surface form Disambiguated ID Type / Status
Subject Cup’ig E148682 entity
Predicate culturalRegion P1968 FINISHED
Object Arctic E2311 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: Arctic | Statement: [Cup’ig, culturalRegion, Arctic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arctic
Context triple: [Cup’ig, culturalRegion, Arctic]
  • A. Arctic
    Arctic is a 2018 survival drama film starring Mads Mikkelsen as a stranded pilot struggling to stay alive in the Arctic wilderness.
  • B. Arctic region chosen
    The Arctic region is the Earth's northernmost polar area, characterized by extreme cold, sea ice, tundra landscapes, and unique ecosystems adapted to long periods of darkness and light.
  • C. Pohjoisesplanadi
    Pohjoisesplanadi is a prominent street in central Helsinki, Finland, known for its historic buildings, government institutions, and proximity to Esplanadi Park.
  • D. Arctic Ocean
    The Arctic Ocean is the smallest and shallowest of Earth's major oceans, located around the North Pole and largely covered by sea ice.
  • E. Campo de Hielo Norte
    Campo de Hielo Norte is a vast Patagonian ice field in southern Chile, known as one of the largest mid-latitude ice masses in the world and a major source of outlet glaciers and freshwater.
  • 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_69c687e8cf188190b5f3ecffd681f04e completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6e969c5fc819096bc03bfba12d0cf completed March 27, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bfc0ac008190b3ea46b4e5f13287 completed March 28, 2026, 11:47 a.m.
Created at: March 27, 2026, 2:52 p.m.