Triple
T20824172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ertholmene |
E512653
|
entity |
| Predicate | hasIslet |
P970
|
FINISHED |
| Object |
Tyveskær
Tyveskær is a small Danish islet belonging to the Ertholmene archipelago in the Baltic Sea.
|
E1454746
|
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: Tyveskær | Statement: [Ertholmene, hasIslet, Tyveskær]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tyveskær Context triple: [Ertholmene, hasIslet, Tyveskær]
-
A.
Osterskær
Osterskær is a small uninhabited skerry in the Ertholmene archipelago off the coast of Denmark, known as the easternmost point of the country.
-
B.
Großbothen
Großbothen is a village in the German state of Saxony, historically noted as the place where pioneering psychologist Wilhelm Wundt spent his final years and died.
-
C.
Refshaleøen
Refshaleøen is a former industrial island in Copenhagen, Denmark, now known for its creative hubs, cultural venues, and waterfront recreational spaces.
-
D.
Bjørnø
Bjørnø is a small Danish island known for its tranquil rural landscape and coastal scenery in the South Funen region.
-
E.
Fjerritslev
Fjerritslev is a small Danish town in the North Jutland region, known historically for its agricultural surroundings and local brewery heritage.
- 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: Tyveskær Triple: [Ertholmene, hasIslet, Tyveskær]
Generated description
Tyveskær is a small Danish islet belonging to the Ertholmene archipelago in the Baltic Sea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tyveskær Target entity description: Tyveskær is a small Danish islet belonging to the Ertholmene archipelago in the Baltic Sea.
-
A.
Osterskær
Osterskær is a small uninhabited skerry in the Ertholmene archipelago off the coast of Denmark, known as the easternmost point of the country.
-
B.
Großbothen
Großbothen is a village in the German state of Saxony, historically noted as the place where pioneering psychologist Wilhelm Wundt spent his final years and died.
-
C.
Refshaleøen
Refshaleøen is a former industrial island in Copenhagen, Denmark, now known for its creative hubs, cultural venues, and waterfront recreational spaces.
-
D.
Bjørnø
Bjørnø is a small Danish island known for its tranquil rural landscape and coastal scenery in the South Funen region.
-
E.
Fjerritslev
Fjerritslev is a small Danish town in the North Jutland region, known historically for its agricultural surroundings and local brewery heritage.
- 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_6a09138db62c8190a6ab72fcd5b5094f |
completed | May 17, 2026, 1:02 a.m. |
| NEDg | Description generation | batch_6a09144734b0819090901b8e6590222f |
completed | May 17, 2026, 1:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0914a0fb4c8190be5d504ff65dfe32 |
completed | May 17, 2026, 1:06 a.m. |
Created at: April 16, 2026, 12:41 p.m.