Triple

T10901371
Position Surface form Disambiguated ID Type / Status
Subject Aulum-Haderup Municipality E257449 entity
Predicate namedAfter P63 FINISHED
Object Haderup
Haderup is a small town in Denmark, known locally as a rural community that gave its name to the former Aulum-Haderup Municipality.
 E891738 NE FINISHED

How this triple was built (4 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: Haderup | Statement: [Aulum-Haderup Municipality, namedAfter, Haderup]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Haderup
Context triple: [Aulum-Haderup Municipality, namedAfter, Haderup]
  • A. Hellebæk
    Hellebæk is a coastal town in northeastern Zealand, Denmark, known for its scenic setting near Helsingør and its historic industrial and residential architecture.
  • B. Blangsted
    Blangsted is a surname most notably associated with Folmar Blangsted, a film editor.
  • C. Gudhjem
    Gudhjem is a picturesque coastal village on the Danish island of Bornholm, known for its steep streets, red-roofed houses, and harbor overlooking the Baltic Sea.
  • D. Egeskov
    Egeskov is a village on the island of Funen in Denmark best known for the nearby Renaissance water castle Egeskov Castle, one of Europe’s best-preserved moated castles.
  • E. Halsskov
    Halsskov is a district and ferry port in the Danish town of Korsør on the island of Zealand, known as the western landfall of the Great Belt Bridge.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Haderup
Triple: [Aulum-Haderup Municipality, namedAfter, Haderup]
Generated description
Haderup is a small town in Denmark, known locally as a rural community that gave its name to the former Aulum-Haderup Municipality.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Haderup
Target entity description: Haderup is a small town in Denmark, known locally as a rural community that gave its name to the former Aulum-Haderup Municipality.
  • A. Hellebæk
    Hellebæk is a coastal town in northeastern Zealand, Denmark, known for its scenic setting near Helsingør and its historic industrial and residential architecture.
  • B. Blangsted
    Blangsted is a surname most notably associated with Folmar Blangsted, a film editor.
  • C. Gudhjem
    Gudhjem is a picturesque coastal village on the Danish island of Bornholm, known for its steep streets, red-roofed houses, and harbor overlooking the Baltic Sea.
  • D. Egeskov
    Egeskov is a village on the island of Funen in Denmark best known for the nearby Renaissance water castle Egeskov Castle, one of Europe’s best-preserved moated castles.
  • E. Halsskov
    Halsskov is a district and ferry port in the Danish town of Korsør on the island of Zealand, known as the western landfall of the Great Belt Bridge.
  • F. None of above. chosen

Provenance (5 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d761a3e83c81908dc48c0fb7935da7 completed April 9, 2026, 8:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69e155306e9081909433522eeecf2b7d completed April 16, 2026, 9:31 p.m.
NEDg Description generation batch_69e174d962ec8190a0ef8442e3414a8d completed April 16, 2026, 11:46 p.m.
NED2 Entity disambiguation (via description) batch_69e1777c0a308190bb5dc5e64cb51af3 completed April 16, 2026, 11:57 p.m.
Created at: April 8, 2026, 9:22 p.m.