Triple
T1232399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vaxholm Municipality |
E26470
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object |
Skogsön
Skogsön is an island in the Stockholm archipelago of Sweden, situated within Vaxholm Municipality and known for its natural coastal landscapes and holiday homes.
|
E169996
|
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: Skogsön | Statement: [Vaxholm Municipality, hasIsland, Skogsön]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skogsön Context triple: [Vaxholm Municipality, hasIsland, Skogsön]
-
A.
Dalarö
Dalarö is a historic coastal village in the Stockholm archipelago of Sweden, known as a seaside resort and gateway to nearby islands.
-
B.
Bollstanäs
Bollstanäs is a residential locality in Sweden situated within the suburban area of Upplands Väsby, north of Stockholm.
-
C.
Södertörn
Södertörn is a large peninsula in eastern Sweden, south of Stockholm, known for its mix of suburban areas, forests, and coastline along the Baltic Sea.
-
D.
Rindö
Rindö is an island in Sweden’s Stockholm archipelago, known for its coastal scenery and strategic location near the town of Vaxholm.
-
E.
Muskö
Muskö is an island and locality in the Stockholm archipelago of Sweden, known for its naval base and scenic coastal environment.
- 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: Skogsön Triple: [Vaxholm Municipality, hasIsland, Skogsön]
Generated description
Skogsön is an island in the Stockholm archipelago of Sweden, situated within Vaxholm Municipality and known for its natural coastal landscapes and holiday homes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Skogsön Target entity description: Skogsön is an island in the Stockholm archipelago of Sweden, situated within Vaxholm Municipality and known for its natural coastal landscapes and holiday homes.
-
A.
Dalarö
Dalarö is a historic coastal village in the Stockholm archipelago of Sweden, known as a seaside resort and gateway to nearby islands.
-
B.
Bollstanäs
Bollstanäs is a residential locality in Sweden situated within the suburban area of Upplands Väsby, north of Stockholm.
-
C.
Södertörn
Södertörn is a large peninsula in eastern Sweden, south of Stockholm, known for its mix of suburban areas, forests, and coastline along the Baltic Sea.
-
D.
Rindö
Rindö is an island in Sweden’s Stockholm archipelago, known for its coastal scenery and strategic location near the town of Vaxholm.
-
E.
Muskö
Muskö is an island and locality in the Stockholm archipelago of Sweden, known for its naval base and scenic coastal environment.
- 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_69a4948571c88190a9191e451e6035fd |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be5b40208190b115a6a344402caf |
completed | March 1, 2026, 10:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad1c90c95081908af02d73f7d762ee |
completed | March 8, 2026, 6:52 a.m. |
| NEDg | Description generation | batch_69ad1ccce8548190bd65a3a380e6d2b7 |
completed | March 8, 2026, 6:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad1d4782708190bd472726d42a5cd5 |
completed | March 8, 2026, 6:55 a.m. |
Created at: March 1, 2026, 7:47 p.m.