Triple
T9883815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Egeskov Castle |
E180878
|
entity |
| Predicate | locatedInSettlement |
P21214
|
FINISHED |
| Object |
Egeskov
Egeskov is a village on the island of Funen in Denmark best known for the nearby Renaissance water castle Egeskov Castle, one of Europe’s best-preserved moated castles.
|
E838771
|
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: Egeskov | Statement: [Egeskov Castle, locatedInSettlement, Egeskov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Egeskov Context triple: [Egeskov Castle, locatedInSettlement, Egeskov]
-
A.
Nakskov
Nakskov is a historic port town in southern Denmark located on the island of Lolland, known for its maritime industry and coastal setting.
-
B.
Hellebæk
Hellebæk is a coastal town in northeastern Zealand, Denmark, known for its scenic setting near Helsingør and its historic industrial and residential architecture.
-
C.
Tranekær
Tranekær is a historic village on the Danish island of Langeland, known for its castle and scenic rural surroundings.
-
D.
Bragernes
Bragernes is a historic former town and district that now forms the northern part of the city of Drammen in Norway.
-
E.
Halsskov
Halsskov is a district and ferry port in the Danish town of Korsør on the island of Zealand, known as the western landfall of the Great Belt Bridge.
- 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: Egeskov Triple: [Egeskov Castle, locatedInSettlement, Egeskov]
Generated description
Egeskov is a village on the island of Funen in Denmark best known for the nearby Renaissance water castle Egeskov Castle, one of Europe’s best-preserved moated castles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Egeskov Target entity description: Egeskov is a village on the island of Funen in Denmark best known for the nearby Renaissance water castle Egeskov Castle, one of Europe’s best-preserved moated castles.
-
A.
Nakskov
Nakskov is a historic port town in southern Denmark located on the island of Lolland, known for its maritime industry and coastal setting.
-
B.
Hellebæk
Hellebæk is a coastal town in northeastern Zealand, Denmark, known for its scenic setting near Helsingør and its historic industrial and residential architecture.
-
C.
Tranekær
Tranekær is a historic village on the Danish island of Langeland, known for its castle and scenic rural surroundings.
-
D.
Bragernes
Bragernes is a historic former town and district that now forms the northern part of the city of Drammen in Norway.
-
E.
Halsskov
Halsskov is a district and ferry port in the Danish town of Korsør on the island of Zealand, known as the western landfall of the Great Belt Bridge.
- 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_69ca828082cc8190a40f8d299caa6545 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb453b388819095a5070399d9788d |
completed | April 2, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d299c51ea08190902e03552fbe7ebb |
completed | April 5, 2026, 5:20 p.m. |
| NEDg | Description generation | batch_69d29b7430248190b8965eaf1286dd7c |
completed | April 5, 2026, 5:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d29c7ba9f081908f4614098d6c954b |
completed | April 5, 2026, 5:31 p.m. |
Created at: March 30, 2026, 8:38 p.m.