Triple
T18113051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nord-Fron |
E433529
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Sødorp
Sødorp is a village and parish in Nord-Fron Municipality in Innlandet county, Norway, known for its rural setting and historic church.
|
E1307301
|
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: Sødorp | Statement: [Nord-Fron, contains, Sødorp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sødorp Context triple: [Nord-Fron, contains, Sødorp]
-
A.
Solrød
Solrød is a coastal town in eastern Denmark, located on the shores of Køge Bay south of Copenhagen.
-
B.
Skælskør
Skælskør is a small coastal town in western Zealand, Denmark, known for its historic harbor, scenic fjord, and traditional Danish architecture.
-
C.
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.
-
D.
Søborg
Søborg is a Danish surname most notably borne by individuals such as cinematographer Morten Søborg.
-
E.
Nørresundby
Nørresundby is a town in northern Denmark situated across the Limfjord from Aalborg, forming part of the Aalborg metropolitan area.
- 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: Sødorp Triple: [Nord-Fron, contains, Sødorp]
Generated description
Sødorp is a village and parish in Nord-Fron Municipality in Innlandet county, Norway, known for its rural setting and historic church.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sødorp Target entity description: Sødorp is a village and parish in Nord-Fron Municipality in Innlandet county, Norway, known for its rural setting and historic church.
-
A.
Solrød
Solrød is a coastal town in eastern Denmark, located on the shores of Køge Bay south of Copenhagen.
-
B.
Skælskør
Skælskør is a small coastal town in western Zealand, Denmark, known for its historic harbor, scenic fjord, and traditional Danish architecture.
-
C.
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.
-
D.
Søborg
Søborg is a Danish surname most notably borne by individuals such as cinematographer Morten Søborg.
-
E.
Nørresundby
Nørresundby is a town in northern Denmark situated across the Limfjord from Aalborg, forming part of the Aalborg metropolitan area.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddd3fd9c81909bfe95927f7553e3 |
completed | April 19, 2026, 1:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a037c3b95b481909fe58450f007544e |
completed | May 12, 2026, 7:15 p.m. |
| NEDg | Description generation | batch_6a037db328b08190b003da3980076ecf |
completed | May 12, 2026, 7:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a037e99ae98819087afa088fb42e847 |
completed | May 12, 2026, 7:25 p.m. |
Created at: April 10, 2026, 10:28 a.m.