Triple
T20496387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saltsjö Duvnäs station |
E502884
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Saltsjö-Duvnäs
Saltsjö-Duvnäs is a residential suburb in Nacka Municipality near Stockholm, Sweden, known for its scenic waterfront setting and commuter rail connections to the capital.
|
E1435077
|
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: Saltsjö-Duvnäs | Statement: [Saltsjö Duvnäs station, locatedIn, Saltsjö-Duvnäs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saltsjö-Duvnäs Context triple: [Saltsjö Duvnäs station, locatedIn, Saltsjö-Duvnäs]
-
A.
Korsnäs
Korsnäs is a small coastal municipality in western Finland known for its Swedish-speaking majority and traditional Ostrobothnian rural culture.
-
B.
Såtenäs
Såtenäs is a locality in western Sweden best known as a major Swedish Air Force base and home of the F 7 Wing.
-
C.
Bollnäs
Bollnäs is a small Swedish town known for its scenic lakeside setting, traditional wooden architecture, and strong bandy sports culture.
-
D.
Siljansnäs
Siljansnäs is a small village in central Sweden’s Dalarna region, known for its scenic location near Lake Siljan and access to nature and outdoor activities.
-
E.
Fagersjö
Fagersjö is a residential district in southern Stockholm, Sweden, known for its proximity to lakes and green areas.
- 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: Saltsjö-Duvnäs Triple: [Saltsjö Duvnäs station, locatedIn, Saltsjö-Duvnäs]
Generated description
Saltsjö-Duvnäs is a residential suburb in Nacka Municipality near Stockholm, Sweden, known for its scenic waterfront setting and commuter rail connections to the capital.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Saltsjö-Duvnäs Target entity description: Saltsjö-Duvnäs is a residential suburb in Nacka Municipality near Stockholm, Sweden, known for its scenic waterfront setting and commuter rail connections to the capital.
-
A.
Korsnäs
Korsnäs is a small coastal municipality in western Finland known for its Swedish-speaking majority and traditional Ostrobothnian rural culture.
-
B.
Såtenäs
Såtenäs is a locality in western Sweden best known as a major Swedish Air Force base and home of the F 7 Wing.
-
C.
Bollnäs
Bollnäs is a small Swedish town known for its scenic lakeside setting, traditional wooden architecture, and strong bandy sports culture.
-
D.
Siljansnäs
Siljansnäs is a small village in central Sweden’s Dalarna region, known for its scenic location near Lake Siljan and access to nature and outdoor activities.
-
E.
Fagersjö
Fagersjö is a residential district in southern Stockholm, Sweden, known for its proximity to lakes and green areas.
- 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_69e0b4b0373881909dd3e9387f82eab4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cbdeb9c819090a30a7961146c93 |
completed | April 20, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0893bad0388190b06b996936bea541 |
completed | May 16, 2026, 3:56 p.m. |
| NEDg | Description generation | batch_6a08965ee3108190a093441999b7f96c |
completed | May 16, 2026, 4:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08972f5a8c8190a73695ac19823e13 |
completed | May 16, 2026, 4:11 p.m. |
Created at: April 16, 2026, 11:35 a.m.