Triple

T7037656
Position Surface form Disambiguated ID Type / Status
Subject Mörbylånga Municipality E163424 entity
Predicate containsSettlement P847 FINISHED
Object Gårdby
Gårdby is a small village on the island of Öland in southeastern Sweden, known for its rural landscape and traditional Swedish countryside character.
E636512 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: Gårdby | Statement: [Mörbylånga Municipality, containsSettlement, Gårdby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gårdby
Context triple: [Mörbylånga Municipality, containsSettlement, Gårdby]
  • A. Vårby
    Vårby is a suburban district in the southern Stockholm area of Sweden, known for its residential neighborhoods and proximity to Lake Mälaren.
  • B. 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.
  • C. Blangsted
    Blangsted is a surname most notably associated with Folmar Blangsted, a film editor.
  • D. Brønderslev
    Brønderslev is a town in northern Jutland, Denmark, known as a local commercial and administrative center surrounded by agricultural countryside.
  • E. Maarkedal
    Maarkedal is a rural municipality in the Flemish Ardennes of East Flanders, Belgium, known for its hilly landscape and cycling routes.
  • 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: Gårdby
Triple: [Mörbylånga Municipality, containsSettlement, Gårdby]
Generated description
Gårdby is a small village on the island of Öland in southeastern Sweden, known for its rural landscape and traditional Swedish countryside character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gårdby
Target entity description: Gårdby is a small village on the island of Öland in southeastern Sweden, known for its rural landscape and traditional Swedish countryside character.
  • A. Vårby
    Vårby is a suburban district in the southern Stockholm area of Sweden, known for its residential neighborhoods and proximity to Lake Mälaren.
  • B. 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.
  • C. Blangsted
    Blangsted is a surname most notably associated with Folmar Blangsted, a film editor.
  • D. Brønderslev
    Brønderslev is a town in northern Jutland, Denmark, known as a local commercial and administrative center surrounded by agricultural countryside.
  • E. Maarkedal
    Maarkedal is a rural municipality in the Flemish Ardennes of East Flanders, Belgium, known for its hilly landscape and cycling routes.
  • 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_69c6885e7c1c8190be32a8f79ab4e0cf completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e221a7988190b6b69782a275abb7 completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c775a6e1a08190af7d121cb854118e completed March 28, 2026, 6:31 a.m.
NEDg Description generation batch_69c777e962448190993a019cb76781f8 completed March 28, 2026, 6:40 a.m.
NED2 Entity disambiguation (via description) batch_69c778ff705c8190909c03551292c5e9 completed March 28, 2026, 6:45 a.m.
Created at: March 27, 2026, 2:36 p.m.