Triple
T20824171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ertholmene |
E512653
|
entity |
| Predicate | hasIslet |
P970
|
FINISHED |
| Object |
Mølleklippen
Mølleklippen is a small islet in the Ertholmene archipelago off the coast of Bornholm, Denmark.
|
E1452879
|
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: Mølleklippen | Statement: [Ertholmene, hasIslet, Mølleklippen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mølleklippen Context triple: [Ertholmene, hasIslet, Mølleklippen]
-
A.
Lønstrup Cliffs
Lønstrup Cliffs are dramatic, rapidly eroding coastal cliffs in northern Denmark known for their striking landscapes and geological instability along the North Sea.
-
B.
Bulbjerg cliff
Bulbjerg cliff is a prominent limestone sea cliff on the northern coast of Denmark, known for its dramatic coastal scenery and rich birdlife.
-
C.
Møns Klint
Møns Klint is a dramatic white chalk cliff coastline on the Danish island of Møn, renowned for its striking scenery, rich fossils, and unique natural habitats.
-
D.
Møllehøj
Møllehøj is the highest natural point in Denmark, located in the hilly region of eastern Jutland.
-
E.
Lindesnes peninsula
Lindesnes peninsula is the southernmost headland of mainland Norway, known for its rugged coastline and historic lighthouse.
- 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: Mølleklippen Triple: [Ertholmene, hasIslet, Mølleklippen]
Generated description
Mølleklippen is a small islet in the Ertholmene archipelago off the coast of Bornholm, Denmark.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mølleklippen Target entity description: Mølleklippen is a small islet in the Ertholmene archipelago off the coast of Bornholm, Denmark.
-
A.
Lønstrup Cliffs
Lønstrup Cliffs are dramatic, rapidly eroding coastal cliffs in northern Denmark known for their striking landscapes and geological instability along the North Sea.
-
B.
Bulbjerg cliff
Bulbjerg cliff is a prominent limestone sea cliff on the northern coast of Denmark, known for its dramatic coastal scenery and rich birdlife.
-
C.
Møns Klint
Møns Klint is a dramatic white chalk cliff coastline on the Danish island of Møn, renowned for its striking scenery, rich fossils, and unique natural habitats.
-
D.
Møllehøj
Møllehøj is the highest natural point in Denmark, located in the hilly region of eastern Jutland.
-
E.
Lindesnes peninsula
Lindesnes peninsula is the southernmost headland of mainland Norway, known for its rugged coastline and historic lighthouse.
- 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_69e0b4ce39108190a6e8e5df4f1c8dc5 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2fcc60881908ef3d8914d801ea1 |
completed | April 21, 2026, 12:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09007b90d88190af71babe9740b931 |
completed | May 16, 2026, 11:40 p.m. |
| NEDg | Description generation | batch_6a090254a708819085569e7b1deaecbe |
completed | May 16, 2026, 11:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0902b5b254819095b8bb85227e3e27 |
completed | May 16, 2026, 11:50 p.m. |
Created at: April 16, 2026, 12:41 p.m.