Triple
T1595454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kattegat |
E34271
|
entity |
| Predicate | majorIsland |
P756
|
FINISHED |
| Object |
Læsø
Læsø is a Danish island in the Kattegat known for its salt production, distinctive seaweed-roofed houses, and tranquil coastal landscapes.
|
E187329
|
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: Læsø | Statement: [Kattegat, majorIsland, Læsø]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Læsø Context triple: [Kattegat, majorIsland, Læsø]
-
A.
Lindøya
Lindøya is a small, scenic island in the Oslofjord known for its colorful wooden cottages, car-free environment, and popularity as a summer retreat near Oslo.
-
B.
Gressholmen
Gressholmen is a small recreational island near central Oslo, Norway, known for its beaches, nature reserve areas, and former seaplane airport.
-
C.
Bømlo
Bømlo is a large island and municipality in Vestland county, Norway, known for its rugged coastline, fishing communities, and extensive network of tunnels and bridges connecting it to the mainland.
-
D.
Langeoog
Langeoog is a German North Sea island known for its car-free environment, expansive sandy beaches, and role as a popular holiday destination in Lower Saxony.
-
E.
Bornholm
Bornholm is a Danish island known for its rocky coastline, medieval ruins, and picturesque fishing villages in the Baltic Sea.
- 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: Læsø Triple: [Kattegat, majorIsland, Læsø]
Generated description
Læsø is a Danish island in the Kattegat known for its salt production, distinctive seaweed-roofed houses, and tranquil coastal landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Læsø Target entity description: Læsø is a Danish island in the Kattegat known for its salt production, distinctive seaweed-roofed houses, and tranquil coastal landscapes.
-
A.
Lindøya
Lindøya is a small, scenic island in the Oslofjord known for its colorful wooden cottages, car-free environment, and popularity as a summer retreat near Oslo.
-
B.
Gressholmen
Gressholmen is a small recreational island near central Oslo, Norway, known for its beaches, nature reserve areas, and former seaplane airport.
-
C.
Bømlo
Bømlo is a large island and municipality in Vestland county, Norway, known for its rugged coastline, fishing communities, and extensive network of tunnels and bridges connecting it to the mainland.
-
D.
Langeoog
Langeoog is a German North Sea island known for its car-free environment, expansive sandy beaches, and role as a popular holiday destination in Lower Saxony.
-
E.
Bornholm
Bornholm is a Danish island known for its rocky coastline, medieval ruins, and picturesque fishing villages in the Baltic Sea.
- 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_69a885fdcb9c819081ce6f0b8cd477dd |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9092ccb388190b2f3ed86b3853651 |
completed | March 5, 2026, 4:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad680e8c908190a62a0a2f92a2b335 |
completed | March 8, 2026, 12:14 p.m. |
| NEDg | Description generation | batch_69ad69017e448190b337337431c6f797 |
completed | March 8, 2026, 12:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad6966c3108190bf2519f698dd3903 |
completed | March 8, 2026, 12:19 p.m. |
Created at: March 4, 2026, 7:27 p.m.