Triple

T3661519
Position Surface form Disambiguated ID Type / Status
Subject Bodø E77659 entity
Predicate hasPhenomenon P1886 FINISHED
Object northern lights E16797 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: northern lights | Statement: [Bodø, hasPhenomenon, northern lights]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: northern lights
Context triple: [Bodø, hasPhenomenon, northern lights]
  • A. Aurora Borealis chosen
    Aurora Borealis is a famous 1865 landscape painting by American artist Frederic Edwin Church that dramatically depicts the northern lights over an Arctic scene.
  • B. Aurora Triumphans
    Aurora Triumphans is a symbolist Pre-Raphaelite painting by Evelyn De Morgan that depicts the triumph of spiritual light and awakening over darkness.
  • C. Aurora
    Aurora is a major city in northeastern Illinois, known as a key suburb of Chicago and a regional center for industry, transportation, and technology.
  • D. Aurora
    Aurora is a suburban town in central York Region, Ontario, known as an affluent residential community within the Greater Toronto Area.
  • E. Aurora
    Aurora is a major suburban city in the Denver metropolitan area of Colorado, known for its diverse population, extensive parks and open spaces, and role as a key economic and residential hub on the eastern side of the metro region.
  • 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_69ad85dfc4dc8190a441864202ab2a7a completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3d826d88190b0b50e8592088a36 completed March 8, 2026, 6:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b48844a380819084c4627a95b4cb3c completed March 13, 2026, 9:57 p.m.
Created at: March 8, 2026, 3:25 p.m.