Triple

T18797024
Position Surface form Disambiguated ID Type / Status
Subject Vendsyssel E459660 entity
Predicate hasMajorTown P316 FINISHED
Object Pandrup
Pandrup is a small town in northern Jutland, Denmark, known for its rural surroundings and role as a local service and commercial center.
 E1342731 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: Pandrup | Statement: [Vendsyssel, hasMajorTown, Pandrup]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pandrup
Context triple: [Vendsyssel, hasMajorTown, Pandrup]
  • A. Haderup
    Haderup is a small town in Denmark, known locally as a rural community that gave its name to the former Aulum-Haderup Municipality.
  • B. Kværndrup
    Kværndrup is a small Danish village on the island of Funen, known for its proximity to the historic Egeskov Castle.
  • C. Knudstrup
    Knudstrup is a locality in Denmark, likely a small village or settlement bearing a traditional Danish place name.
  • D. Knudstrup
    Knudstrup is a small locality in present-day Sweden historically notable as the birthplace of the astronomer Tycho Brahe.
  • E. Vildbjerg
    Vildbjerg is a Danish town that serves as the administrative center of the former Trehøje Municipality in the Central Denmark Region.
  • 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: Pandrup
Triple: [Vendsyssel, hasMajorTown, Pandrup]
Generated description
Pandrup is a small town in northern Jutland, Denmark, known for its rural surroundings and role as a local service and commercial center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pandrup
Target entity description: Pandrup is a small town in northern Jutland, Denmark, known for its rural surroundings and role as a local service and commercial center.
  • A. Haderup
    Haderup is a small town in Denmark, known locally as a rural community that gave its name to the former Aulum-Haderup Municipality.
  • B. Kværndrup
    Kværndrup is a small Danish village on the island of Funen, known for its proximity to the historic Egeskov Castle.
  • C. Knudstrup
    Knudstrup is a locality in Denmark, likely a small village or settlement bearing a traditional Danish place name.
  • D. Knudstrup
    Knudstrup is a small locality in present-day Sweden historically notable as the birthplace of the astronomer Tycho Brahe.
  • E. Vildbjerg
    Vildbjerg is a Danish town that serves as the administrative center of the former Trehøje Municipality in the Central Denmark Region.
  • 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a020821881909749f6a1c6cd195b completed April 20, 2026, 3:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05472244488190be57a1bb7d1be5a1 completed May 14, 2026, 3:53 a.m.
NEDg Description generation batch_6a054859b270819081912c2110d30263 completed May 14, 2026, 3:58 a.m.
NED2 Entity disambiguation (via description) batch_6a0548f1ed74819090775763f4976a1a completed May 14, 2026, 4 a.m.
Created at: April 10, 2026, 11:53 a.m.