Triple

T18010327
Position Surface form Disambiguated ID Type / Status
Subject Georgy Sedov E430859 entity
Predicate expeditionDestination P21947 FINISHED
Object North Pole 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: North Pole | Statement: [Georgy Sedov, expeditionDestination, North Pole]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: North Pole
Context triple: [Georgy Sedov, expeditionDestination, North Pole]
  • A. North Pole chosen
    The North Pole is the northernmost point on Earth, situated in the middle of the Arctic region and characterized by drifting sea ice over the Arctic Ocean.
  • B. North Pole, Alaska
    North Pole, Alaska is a small city near Fairbanks known for its year-round Christmas-themed attractions and holiday tourism.
  • C. South Pole
    The South Pole is the southernmost point on Earth, located on the continent of Antarctica and serving as a key site for climate and atmospheric research.
  • D. 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.
  • E. Polaria
    Polaria is an Arctic-themed experience center and aquarium in Tromsø, Norway, focusing on polar research, climate, and marine life.
  • 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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b51f0a488190bd34e1f9039f4dc9 completed April 19, 2026, 10:57 a.m.
Created at: April 10, 2026, 10:24 a.m.