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.