Triple

T18597585
Position Surface form Disambiguated ID Type / Status
Subject Politiken E454532 entity
Predicate publisher P29 FINISHED
Object JP/Politikens Hus 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: JP/Politikens Hus | Statement: [Politiken, publisher, JP/Politikens Hus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JP/Politikens Hus
Context triple: [Politiken, publisher, JP/Politikens Hus]
  • A. JP/Politikens Hus chosen
    JP/Politikens Hus is a major Danish media company that owns and operates several prominent newspapers and digital news platforms in Denmark.
  • B. Medborgarhuset
    Medborgarhuset is a prominent public building and cultural center in Stockholm known for its library, swimming hall, and community facilities.
  • C. Regjeringskvartalet
    Regjeringskvartalet is the central government complex in Oslo that houses key ministries and administrative offices of Norway.
  • D. Politikens Forlag
    Politikens Forlag is a major Danish publishing house known for releasing a wide range of fiction and non-fiction by prominent Scandinavian and international authors.
  • E. Parliamentary press center
    The Parliamentary press center is a dedicated facility where journalists gather to report on legislative activities, press conferences, and political developments.
  • 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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5474d934481909b4afd5ef9031c73 completed April 19, 2026, 9:21 p.m.
Created at: April 10, 2026, 11:44 a.m.