Triple
T15092090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skaraborg County |
E360443
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Gullspång
Gullspång is a small locality and municipality in western Sweden, situated in the historical province of Västergötland near Lake Vänern.
|
E1141366
|
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: Gullspång | Statement: [Skaraborg County, contains, Gullspång]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gullspång Context triple: [Skaraborg County, contains, Gullspång]
-
A.
Härnösand
Härnösand is a coastal city in northern Sweden known for its historic architecture, maritime heritage, and role as an administrative and cultural center in the region.
-
B.
Finspång
Finspång is a small industrial town in eastern Sweden known for its long history of metalworking and turbine manufacturing.
-
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.
Bollstanäs
Bollstanäs is a residential locality in Sweden situated within the suburban area of Upplands Väsby, north of Stockholm.
-
E.
Trångsund
Trångsund is a suburban district in the southern part of the Stockholm urban area in Sweden, known for its residential character and proximity to lakes and nature.
- 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: Gullspång Triple: [Skaraborg County, contains, Gullspång]
Generated description
Gullspång is a small locality and municipality in western Sweden, situated in the historical province of Västergötland near Lake Vänern.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gullspång Target entity description: Gullspång is a small locality and municipality in western Sweden, situated in the historical province of Västergötland near Lake Vänern.
-
A.
Härnösand
Härnösand is a coastal city in northern Sweden known for its historic architecture, maritime heritage, and role as an administrative and cultural center in the region.
-
B.
Finspång
Finspång is a small industrial town in eastern Sweden known for its long history of metalworking and turbine manufacturing.
-
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.
Bollstanäs
Bollstanäs is a residential locality in Sweden situated within the suburban area of Upplands Väsby, north of Stockholm.
-
E.
Trångsund
Trångsund is a suburban district in the southern part of the Stockholm urban area in Sweden, known for its residential character and proximity to lakes and nature.
- 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0027925788190b955fdc6626adf7d |
completed | April 15, 2026, 9:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec87ad03c8190b8a77e8eca9caf4d |
completed | May 9, 2026, 5:39 a.m. |
| NEDg | Description generation | batch_69fec95430808190a3ad85d1ef879cb4 |
completed | May 9, 2026, 5:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fec9f021588190863863ed29295c3f |
completed | May 9, 2026, 5:45 a.m. |
Created at: April 10, 2026, 3:04 a.m.