Triple
T19575233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Värmdö |
E489837
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object |
Djurö
Djurö is an island in Sweden’s Stockholm archipelago, known for its coastal nature, holiday homes, and maritime character.
|
E1383778
|
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: Djurö | Statement: [Värmdö, hasIsland, Djurö]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Djurö Context triple: [Värmdö, hasIsland, Djurö]
-
A.
Värmdö
Värmdö is a large island and municipality in the Stockholm archipelago of Sweden, known for its coastal landscapes, holiday homes, and proximity to Stockholm.
-
B.
Skarpö
Skarpö is an island in the Stockholm archipelago of Sweden, situated within Vaxholm Municipality and known for its coastal scenery and residential character.
-
C.
Hammarö
Hammarö is a Swedish island and municipality in Värmland County, known for its forests, coastline, and proximity to the city of Karlstad.
-
D.
Resarö
Resarö is an island in the Stockholm archipelago known for its residential communities, natural coastal scenery, and proximity to the city of Stockholm.
-
E.
Lidingö
Lidingö is a suburban island town in the Stockholm archipelago known for its affluent residential areas, natural landscapes, and proximity to Sweden’s capital.
- 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: Djurö Triple: [Värmdö, hasIsland, Djurö]
Generated description
Djurö is an island in Sweden’s Stockholm archipelago, known for its coastal nature, holiday homes, and maritime character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Djurö Target entity description: Djurö is an island in Sweden’s Stockholm archipelago, known for its coastal nature, holiday homes, and maritime character.
-
A.
Värmdö
Värmdö is a large island and municipality in the Stockholm archipelago of Sweden, known for its coastal landscapes, holiday homes, and proximity to Stockholm.
-
B.
Skarpö
Skarpö is an island in the Stockholm archipelago of Sweden, situated within Vaxholm Municipality and known for its coastal scenery and residential character.
-
C.
Hammarö
Hammarö is a Swedish island and municipality in Värmland County, known for its forests, coastline, and proximity to the city of Karlstad.
-
D.
Resarö
Resarö is an island in the Stockholm archipelago known for its residential communities, natural coastal scenery, and proximity to the city of Stockholm.
-
E.
Lidingö
Lidingö is a suburban island town in the Stockholm archipelago known for its affluent residential areas, natural landscapes, and proximity to Sweden’s capital.
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e64023fe148190900c6887896c8ea0 |
completed | April 20, 2026, 3:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07578feebc819097d233618e09d1eb |
completed | May 15, 2026, 5:27 p.m. |
| NEDg | Description generation | batch_6a075865eaac819085b35d165fda91d4 |
completed | May 15, 2026, 5:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07590b84488190a33889335ba95c95 |
completed | May 15, 2026, 5:34 p.m. |
Created at: April 10, 2026, 1:42 p.m.