Triple

T13780842
Position Surface form Disambiguated ID Type / Status
Subject DR E331126 entity
Predicate fullName P16 FINISHED
Object Danmarks Radio E401159 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: Danmarks Radio | Statement: [DR, fullName, Danmarks Radio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danmarks Radio
Context triple: [DR, fullName, Danmarks Radio]
  • A. Danish Broadcasting Corporation chosen
    The Danish Broadcasting Corporation is Denmark's national public service broadcaster, operating television, radio, and online media platforms.
  • B. Sveriges Radio
    Sveriges Radio is Sweden's national public service radio broadcaster, providing news, culture, and entertainment across multiple channels without commercial advertising.
  • C. Yleisradio
    Yleisradio is Finland’s national public broadcasting company, providing television, radio, and online services funded primarily by public means.
  • D. Norwegian Broadcasting Corporation
    The Norwegian Broadcasting Corporation is Norway’s public service broadcaster, operating national television, radio, and online services.
  • E. Norddeutscher Rundfunk
    Norddeutscher Rundfunk is a major German public broadcasting organization serving the northern states with radio, television, and online media.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02460a688190a27874f8d35819c7 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b079013881908e9f5412e5dfb0b2 completed May 3, 2026, 8:30 p.m.
Created at: April 9, 2026, 10:11 p.m.