Triple

T4582169
Position Surface form Disambiguated ID Type / Status
Subject Fritt Ord Foundation E101879 entity
Predicate awards P11 FINISHED
Object Fritt Ord Award E3480 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: Fritt Ord Award | Statement: [Fritt Ord Foundation, awards, Fritt Ord Award]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fritt Ord Award
Context triple: [Fritt Ord Foundation, awards, Fritt Ord Award]
  • A. Fritt Ord Award chosen
    The Fritt Ord Award is a Norwegian prize that honors individuals or organizations for outstanding contributions to freedom of expression and public debate.
  • B. Nordic Prize
    The Nordic Prize is a prestigious literary award presented by the Swedish Academy to honor outstanding authors from the Nordic countries.
  • C. Nordic Council Literature Prize
    The Nordic Council Literature Prize is a prestigious annual award that honors outstanding works of literature written in the languages of the Nordic countries.
  • D. Tegnér Prize
    The Tegnér Prize is a Swedish literary award named after poet Esaias Tegnér, given in recognition of notable achievements in Swedish literature.
  • E. Ingvar Lindqvist Prize
    The Ingvar Lindqvist Prize is a Swedish science education award recognizing outstanding teachers in subjects such as physics, chemistry, mathematics, and natural sciences.
  • 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_69bd43d4ce208190b53158c882b222e3 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd590116e88190b8495b2a78cf3fb6 completed March 20, 2026, 2:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69bde098a5a08190873cb0aaa04890a1 completed March 21, 2026, 12:04 a.m.
Created at: March 20, 2026, 1:10 p.m.