Triple
T20649661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 28 at Österskär |
E507453
|
entity |
| Predicate | terminus |
P388
|
FINISHED |
| Object |
Österskär
Österskär is a coastal locality in Österåker Municipality, Sweden, known as a residential seaside area within the Stockholm archipelago.
|
E1442362
|
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: Österskär | Statement: [Line 28 at Österskär, terminus, Österskär]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Österskär Context triple: [Line 28 at Österskär, terminus, Österskär]
-
A.
Kållandsö
Kållandsö is a large Swedish island known for its scenic landscapes and historic sites, located in Lake Vänern in western Sweden.
-
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.
Västerljung
Västerljung is a small locality in eastern Sweden situated within Trosa Municipality in Södermanland County.
-
D.
Marstrandsön
Marstrandsön is a Swedish island on the west coast known for the historic fortress town of Marstrand, sailing events, and scenic coastal landscapes.
-
E.
Rindö
Rindö is an island in Sweden’s Stockholm archipelago, known for its coastal scenery and strategic location near the town of Vaxholm.
- 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: Österskär Triple: [Line 28 at Österskär, terminus, Österskär]
Generated description
Österskär is a coastal locality in Österåker Municipality, Sweden, known as a residential seaside area within the Stockholm archipelago.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Österskär Target entity description: Österskär is a coastal locality in Österåker Municipality, Sweden, known as a residential seaside area within the Stockholm archipelago.
-
A.
Kållandsö
Kållandsö is a large Swedish island known for its scenic landscapes and historic sites, located in Lake Vänern in western Sweden.
-
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.
Västerljung
Västerljung is a small locality in eastern Sweden situated within Trosa Municipality in Södermanland County.
-
D.
Marstrandsön
Marstrandsön is a Swedish island on the west coast known for the historic fortress town of Marstrand, sailing events, and scenic coastal landscapes.
-
E.
Rindö
Rindö is an island in Sweden’s Stockholm archipelago, known for its coastal scenery and strategic location near the town of Vaxholm.
- 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_69e0b4bf58c081908e52a4500e03ff83 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6af2133048190a6308074a3b3347e |
completed | April 20, 2026, 10:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08c59354388190b5c2a0c1bdd14575 |
completed | May 16, 2026, 7:29 p.m. |
| NEDg | Description generation | batch_6a08c648e35881908c480b0afa383422 |
completed | May 16, 2026, 7:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08c6c6f9608190bdbcdd58f6b14008 |
completed | May 16, 2026, 7:34 p.m. |
Created at: April 16, 2026, 11:43 a.m.