Triple

T20989086
Position Surface form Disambiguated ID Type / Status
Subject Fortitude E516969 entity
Predicate settingLocation P40 FINISHED
Object Arctic 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: Arctic | Statement: [Fortitude, settingLocation, Arctic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arctic
Context triple: [Fortitude, settingLocation, 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
    Arctic is a village and historic commercial district within the town of West Warwick, Rhode Island.
  • C. Nearctic
    Nearctic was a Canadian-bred Thoroughbred racehorse best known as the sire of Northern Dancer and a highly influential progenitor in modern bloodlines.
  • D. Nearctic
    The Nearctic is a major biogeographic realm that encompasses most of North America, characterized by diverse climates and ecosystems ranging from Arctic tundra to deserts and temperate forests.
  • E. 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.
  • 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_69e0b4ffac148190bbade9f0eceb660b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fbe5208c8190b8b843b3778589d3 completed April 21, 2026, 4:24 a.m.
Created at: April 16, 2026, 1:49 p.m.