Triple
T11498347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Næstved |
E272601
|
entity |
| Predicate | hasNearbyHarbor |
P42191
|
FINISHED |
| Object |
Karrebæksminde
Karrebæksminde is a small Danish coastal village and popular seaside resort known for its beaches, marina, and fishing community near Næstved on the island of Zealand.
|
E929227
|
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: Karrebæksminde | Statement: [Næstved, hasNearbyHarbor, Karrebæksminde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karrebæksminde Context triple: [Næstved, hasNearbyHarbor, Karrebæksminde]
-
A.
Tranekær
Tranekær is a historic village on the Danish island of Langeland, known for its castle and scenic rural surroundings.
-
B.
Møllehøj
Møllehøj is the highest natural point in Denmark, located in the hilly region of eastern Jutland.
-
C.
Bragernes
Bragernes is a historic former town and district that now forms the northern part of the city of Drammen in Norway.
-
D.
Nakskov
Nakskov is a historic port town in southern Denmark located on the island of Lolland, known for its maritime industry and coastal setting.
-
E.
Frederiksø
Frederiksø is a small Danish island in the Baltic Sea that, together with Christiansø, forms part of the Ertholmene archipelago known for its historic fortifications and remote setting.
- 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: Karrebæksminde Triple: [Næstved, hasNearbyHarbor, Karrebæksminde]
Generated description
Karrebæksminde is a small Danish coastal village and popular seaside resort known for its beaches, marina, and fishing community near Næstved on the island of Zealand.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Karrebæksminde Target entity description: Karrebæksminde is a small Danish coastal village and popular seaside resort known for its beaches, marina, and fishing community near Næstved on the island of Zealand.
-
A.
Tranekær
Tranekær is a historic village on the Danish island of Langeland, known for its castle and scenic rural surroundings.
-
B.
Møllehøj
Møllehøj is the highest natural point in Denmark, located in the hilly region of eastern Jutland.
-
C.
Bragernes
Bragernes is a historic former town and district that now forms the northern part of the city of Drammen in Norway.
-
D.
Nakskov
Nakskov is a historic port town in southern Denmark located on the island of Lolland, known for its maritime industry and coastal setting.
-
E.
Frederiksø
Frederiksø is a small Danish island in the Baltic Sea that, together with Christiansø, forms part of the Ertholmene archipelago known for its historic fortifications and remote setting.
- 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_69d6aae1b09881909ce2ded3fa0c14fa |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85de27db081909ccdb4ab0ef75bdb |
completed | April 10, 2026, 2:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e604aa9e3c8190ad86e4d05a67c8ac |
completed | April 20, 2026, 10:49 a.m. |
| NEDg | Description generation | batch_69e610a6de0c8190aabda7ef7b7063a6 |
completed | April 20, 2026, 11:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e61853a3b48190b0d132761e9be69c |
completed | April 20, 2026, 12:13 p.m. |
Created at: April 8, 2026, 9:36 p.m.