Triple

T18927141
Position Surface form Disambiguated ID Type / Status
Subject Guldborgsund Municipality E463002 entity
Predicate containsSettlement P847 FINISHED
Object Stubbekøbing NE NERFINISHED

How this triple was built (3 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: Stubbekøbing | Statement: [Guldborgsund Municipality, containsSettlement, Stubbekøbing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stubbekøbing
Context triple: [Guldborgsund Municipality, containsSettlement, Stubbekøbing]
  • A. Rudkøbing
    Rudkøbing is a small historic town on the Danish island of Langeland, known for its well-preserved old streets and as the birthplace of physicist Hans Christian Ørsted.
  • B. Sakskøbing
    Sakskøbing is a small town on the Danish island of Lolland, known for its historic church, harbor, and surrounding agricultural landscape.
  • C. Tranekær
    Tranekær is a historic village on the Danish island of Langeland, known for its castle and scenic rural surroundings.
  • D. Vækerø
    Vækerø is a residential and commercial area in Oslo, Norway, located along the western waterfront and known for its mix of housing, offices, and green spaces.
  • E. Blangsted
    Blangsted is a surname most notably associated with Folmar Blangsted, a film editor.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Stubbekøbing
Target entity description: Stubbekøbing is a small historic town in southeastern Denmark known for its old harbor, well-preserved streets, and maritime heritage.
  • A. Rudkøbing
    Rudkøbing is a small historic town on the Danish island of Langeland, known for its well-preserved old streets and as the birthplace of physicist Hans Christian Ørsted.
  • B. Sakskøbing
    Sakskøbing is a small town on the Danish island of Lolland, known for its historic church, harbor, and surrounding agricultural landscape.
  • C. Tranekær
    Tranekær is a historic village on the Danish island of Langeland, known for its castle and scenic rural surroundings.
  • D. Vækerø
    Vækerø is a residential and commercial area in Oslo, Norway, located along the western waterfront and known for its mix of housing, offices, and green spaces.
  • E. Blangsted
    Blangsted is a surname most notably associated with Folmar Blangsted, a film editor.
  • F. None of above. chosen

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_69d8dcfdbbb881909964fa5a75bd0b48 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c9bc36588190ae9cc3b8abf8afd4 completed April 20, 2026, 6:37 a.m.
Created at: April 10, 2026, 11:59 a.m.