Triple
T22237958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gribskov Municipality |
E549640
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Esbønderup
Esbønderup is a small village in North Zealand, Denmark, known historically for its rural character and proximity to the town of Helsingør.
|
E1527384
|
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: Esbønderup | Statement: [Gribskov Municipality, contains, Esbønderup]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Esbønderup Context triple: [Gribskov Municipality, contains, Esbønderup]
-
A.
Eskelunden
Eskelunden is a large outdoor area in Aarhus, Denmark, used as the main site for major events and music festivals.
-
B.
Stavtrup
Stavtrup is a residential neighborhood in the southwestern part of Aarhus, Denmark, known for its suburban character and proximity to nature.
-
C.
Brønderslev
Brønderslev is a town in northern Jutland, Denmark, known as a local commercial and administrative center surrounded by agricultural countryside.
-
D.
Kværndrup
Kværndrup is a small Danish village on the island of Funen, known for its proximity to the historic Egeskov Castle.
-
E.
Søllerød
Søllerød is a locality in Rudersdal Municipality, north of Copenhagen in eastern Denmark, known for its affluent residential areas and scenic natural surroundings.
- 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: Esbønderup Triple: [Gribskov Municipality, contains, Esbønderup]
Generated description
Esbønderup is a small village in North Zealand, Denmark, known historically for its rural character and proximity to the town of Helsingør.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Esbønderup Target entity description: Esbønderup is a small village in North Zealand, Denmark, known historically for its rural character and proximity to the town of Helsingør.
-
A.
Eskelunden
Eskelunden is a large outdoor area in Aarhus, Denmark, used as the main site for major events and music festivals.
-
B.
Stavtrup
Stavtrup is a residential neighborhood in the southwestern part of Aarhus, Denmark, known for its suburban character and proximity to nature.
-
C.
Brønderslev
Brønderslev is a town in northern Jutland, Denmark, known as a local commercial and administrative center surrounded by agricultural countryside.
-
D.
Kværndrup
Kværndrup is a small Danish village on the island of Funen, known for its proximity to the historic Egeskov Castle.
-
E.
Søllerød
Søllerød is a locality in Rudersdal Municipality, north of Copenhagen in eastern Denmark, known for its affluent residential areas and scenic natural surroundings.
- 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_69e11e4102b881909cf47d3768e25c19 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f13210eb9c8190bc40d06c393e0d9a |
completed | April 28, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ab65714288190b60b9fd0fde42e33 |
completed | May 18, 2026, 6:48 a.m. |
| NEDg | Description generation | batch_6a0ab7f904bc81909addafee8773eae0 |
completed | May 18, 2026, 6:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ab891ba1c81909c9e9a5f29d4eb54 |
completed | May 18, 2026, 6:58 a.m. |
Created at: April 16, 2026, 8:38 p.m.