Triple

T23467879
Position Surface form Disambiguated ID Type / Status
Subject Noelle E569144 entity
Predicate setting P1957 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: [Noelle, setting, North Pole]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: North Pole
Context triple: [Noelle, setting, 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 a hidden Arctic stronghold in Marvel Comics that serves as one of the primary bases of operations for the Eternals.
  • 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_69e2458ebd808190b3298163132cfb0b completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a6fd280c81908aae05f0851466eb completed April 29, 2026, 6:36 a.m.
Created at: April 17, 2026, 5:54 p.m.