Triple

T20824015
Position Surface form Disambiguated ID Type / Status
Subject Helligdommen E512648 entity
Predicate locatedOn P40 FINISHED
Object island of Bornholm 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: island of Bornholm | Statement: [Helligdommen, locatedOn, island of Bornholm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: island of Bornholm
Context triple: [Helligdommen, locatedOn, island of Bornholm]
  • A. Bornholm chosen
    Bornholm is a Danish island known for its rocky coastline, medieval ruins, and picturesque fishing villages in the Baltic Sea.
  • B. island of Zealand
    The island of Zealand is Denmark’s largest and most populous island, home to the capital city Copenhagen and a central hub of the country’s cultural, economic, and political life.
  • C. North Jutlandic Island
    North Jutlandic Island is a large island in northern Denmark separated from the rest of Jutland by the Limfjord and known for its coastal landscapes and tourism.
  • D. Gødland
    Gødland is a psychedelic, retro-styled science fiction comic book series that pays homage to classic cosmic superhero tales, created by writer Joe Casey and artist Tom Scioli.
  • E. Langeland
    Langeland is a Danish island in the South Funen Archipelago, known for its rural landscapes, coastal scenery, and historical villages.
  • 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_69e0b4ce39108190a6e8e5df4f1c8dc5 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2fc0cd081909e264cda686579ea completed April 21, 2026, 12:21 a.m.
Created at: April 16, 2026, 12:41 p.m.