Triple

T18764538
Position Surface form Disambiguated ID Type / Status
Subject Jylland E458858 entity
Predicate hasHighestPoint P210 FINISHED
Object Ejer Bavnehøj 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: Ejer Bavnehøj | Statement: [Jylland, hasHighestPoint, Ejer Bavnehøj]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ejer Bavnehøj
Context triple: [Jylland, hasHighestPoint, Ejer Bavnehøj]
  • A. Ejer Bavnehøj chosen
    Ejer Bavnehøj is a prominent hill in eastern Jutland, Denmark, known as one of the country's highest natural points and a popular viewpoint.
  • B. Møllehøj
    Møllehøj is the highest natural point in Denmark, located in the hilly region of eastern Jutland.
  • C. Eskelunden
    Eskelunden is a large outdoor area in Aarhus, Denmark, used as the main site for major events and music festivals.
  • D. Højbro
    Højbro is a historic bridge in central Copenhagen that connects the islet of Slotsholmen with the rest of the city across the Inner Harbour.
  • E. Eigtved
    Eigtved is a Danish surname most notably associated with Nicolai Eigtved, an 18th-century architect central to the development of Copenhagen’s Rococo architecture.
  • 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_69d8d395dba0819087568404508590cb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e58d82297c81909f720e2637cec737 completed April 20, 2026, 2:20 a.m.
Created at: April 10, 2026, 11:52 a.m.