Triple
T992247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nacka Municipality |
E21416
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object |
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.
|
E124366
|
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: Södertörn | Statement: [Nacka Municipality, locatedOn, Södertörn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Södertörn Context triple: [Nacka Municipality, locatedOn, Södertörn]
-
A.
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.
-
B.
Brunnsviken
Brunnsviken is a scenic bay in the Stockholm area of Sweden, known for its surrounding parks, recreational areas, and cultural landmarks.
-
C.
Lake Mälaren
Lake Mälaren is a large freshwater lake in eastern Sweden that connects to the Baltic Sea and has Stockholm situated on its shores.
-
D.
Järla Sjö
Järla Sjö is a lake and residential area in the eastern suburbs of Stockholm, Sweden, known for its scenic waterfront setting within Nacka.
-
E.
Skarpäng
Skarpäng is a residential urban area within Täby Municipality in Stockholm County, Sweden.
- 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: Södertörn Triple: [Nacka Municipality, locatedOn, Södertörn]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Södertörn Target entity description: 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.
-
A.
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.
-
B.
Brunnsviken
Brunnsviken is a scenic bay in the Stockholm area of Sweden, known for its surrounding parks, recreational areas, and cultural landmarks.
-
C.
Lake Mälaren
Lake Mälaren is a large freshwater lake in eastern Sweden that connects to the Baltic Sea and has Stockholm situated on its shores.
-
D.
Järla Sjö
Järla Sjö is a lake and residential area in the eastern suburbs of Stockholm, Sweden, known for its scenic waterfront setting within Nacka.
-
E.
Skarpäng
Skarpäng is a residential urban area within Täby Municipality in Stockholm County, Sweden.
- 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_69a493c476b48190b41fc5e793171cc6 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4c3f7b48190a31308bdc09817c6 |
completed | March 1, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac4289acc88190886ac8971297b1f8 |
completed | March 7, 2026, 3:21 p.m. |
| NEDg | Description generation | batch_69ac4365965881909ff2cdf8eda07f91 |
completed | March 7, 2026, 3:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac43d1cd1c8190852f8811703ebd5f |
completed | March 7, 2026, 3:27 p.m. |
Created at: March 1, 2026, 7:41 p.m.