Triple

T6020801
Position Surface form Disambiguated ID Type / Status
Subject Stjerneborg E134056 entity
Predicate hasNameInDanish P58114 FINISHED
Object Stjerneborg E134056 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: Stjerneborg | Statement: [Stjerneborg, hasNameInDanish, Stjerneborg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stjerneborg
Context triple: [Stjerneborg, hasNameInDanish, Stjerneborg]
  • A. Stjerneborg chosen
    Stjerneborg was Tycho Brahe’s underground observatory on the island of Hven, designed to provide highly precise astronomical measurements sheltered from wind and weather.
  • B. Bragernes
    Bragernes is a historic former town and district that now forms the northern part of the city of Drammen in Norway.
  • C. Blangsted
    Blangsted is a surname most notably associated with Folmar Blangsted, a film editor.
  • D. Bruttenholm
    Bruttenholm is the surname of Professor Trevor Bruttenholm, the fictional British occult scholar and adoptive father of Hellboy in Mike Mignola’s comic series and its film adaptations.
  • E. Fagerborg
    Fagerborg is a residential neighborhood in Oslo, Norway, known for its central location, historic buildings, and proximity to major educational institutions.
  • 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_69c008742a5c8190b9cb9c2787a3d8b3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04fba86a48190984e95d5adf7c7f1 completed March 22, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c108c2e1c88190a1629c6438f6c8bd completed March 23, 2026, 9:32 a.m.
Created at: March 22, 2026, 4:07 p.m.