Triple

T7851647
Position Surface form Disambiguated ID Type / Status
Subject Kirovsk E182067 entity
Predicate locatedIn P40 FINISHED
Object Arctic Circle E7000 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 Circle | Statement: [Kirovsk, locatedIn, Arctic Circle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arctic Circle
Context triple: [Kirovsk, locatedIn, Arctic Circle]
  • A. Arctic Circle chosen
    The Arctic Circle is an imaginary latitude line near the North Pole that marks the southern boundary of the Earth's polar region, where at least one day each year has 24 hours of daylight or darkness.
  • B. Polar Circle
    Polar Circle is a cold-climate wildlife exhibit at the Central Park Zoo featuring Arctic species such as penguins and polar bears in a simulated polar environment.
  • C. Antarctic Circle
    The Antarctic Circle is an imaginary line of latitude encircling the Earth near the South Pole, marking the region where, at least once a year, there is 24 hours of continuous daylight or darkness.
  • D. Arctic
    Arctic is a 2018 survival drama film starring Mads Mikkelsen as a stranded pilot struggling to stay alive in the Arctic wilderness.
  • E. Arctic region
    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 (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_69ca82869ee08190b8f9040dbc2c0467 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb18ec48548190960bd564a60effa8 completed March 31, 2026, 12:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b0d95748190a202258214dda2ae completed March 31, 2026, 5:26 a.m.
Created at: March 30, 2026, 4:51 p.m.