Triple

T19568596
Position Surface form Disambiguated ID Type / Status
Subject Fredericia Municipality E489650 entity
Predicate contains P35 FINISHED
Object Skærbæk
Skærbæk is a small town in southern Denmark located within the Jutland peninsula.
E1383632 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: Skærbæk | Statement: [Fredericia Municipality, contains, Skærbæk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skærbæk
Context triple: [Fredericia Municipality, contains, Skærbæk]
  • 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. Fagerbakke
    Fagerbakke is the surname of American actor and voice actor Bill Fagerbakke, best known for voicing Patrick Star on the animated series "SpongeBob SquarePants."
  • C. Tranekær
    Tranekær is a historic village on the Danish island of Langeland, known for its castle and scenic rural surroundings.
  • D. Nakskov
    Nakskov is a historic port town in southern Denmark located on the island of Lolland, known for its maritime industry and coastal setting.
  • E. Vollebæk
    Vollebæk is a Norwegian surname most notably associated with diplomat and former foreign minister Knut Vollebæk.
  • 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: Skærbæk
Triple: [Fredericia Municipality, contains, Skærbæk]
Generated description
Skærbæk is a small town in southern Denmark located within the Jutland peninsula.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Skærbæk
Target entity description: Skærbæk is a small town in southern Denmark located within the Jutland peninsula.
  • 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. Fagerbakke
    Fagerbakke is the surname of American actor and voice actor Bill Fagerbakke, best known for voicing Patrick Star on the animated series "SpongeBob SquarePants."
  • C. Tranekær
    Tranekær is a historic village on the Danish island of Langeland, known for its castle and scenic rural surroundings.
  • D. Nakskov
    Nakskov is a historic port town in southern Denmark located on the island of Lolland, known for its maritime industry and coastal setting.
  • E. Vollebæk
    Vollebæk is a Norwegian surname most notably associated with diplomat and former foreign minister Knut Vollebæk.
  • 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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63f79adf08190b1c0b008f30b0acd completed April 20, 2026, 3 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0757898214819090d82acf3fd830ff completed May 15, 2026, 5:27 p.m.
NEDg Description generation batch_6a075865eaac819085b35d165fda91d4 completed May 15, 2026, 5:31 p.m.
NED2 Entity disambiguation (via description) batch_6a07590b84488190a33889335ba95c95 completed May 15, 2026, 5:34 p.m.
Created at: April 10, 2026, 1:42 p.m.