Triple
T9638672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sandviken Municipality |
E233001
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Högbo
Högbo is a locality in central Sweden known for its outdoor recreation areas, historic ironworks, and proximity to the town of Sandviken.
|
E813191
|
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: Högbo | Statement: [Sandviken Municipality, contains, Högbo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Högbo Context triple: [Sandviken Municipality, contains, Högbo]
-
A.
Järbo
Järbo is a locality in Gävleborg County, Sweden, known as a small community within the Sandviken area.
-
B.
Svalöv
Svalöv is a small locality and municipality in Skåne County in southern Sweden, known for its rural landscape and agricultural surroundings.
-
C.
Bollnäs
Bollnäs is a small Swedish town known for its scenic lakeside setting, traditional wooden architecture, and strong bandy sports culture.
-
D.
Bollstanäs
Bollstanäs is a residential locality in Sweden situated within the suburban area of Upplands Väsby, north of Stockholm.
-
E.
Eidskog
Eidskog is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and location along the Swedish border.
- 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: Högbo Triple: [Sandviken Municipality, contains, Högbo]
Generated description
Högbo is a locality in central Sweden known for its outdoor recreation areas, historic ironworks, and proximity to the town of Sandviken.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Högbo Target entity description: Högbo is a locality in central Sweden known for its outdoor recreation areas, historic ironworks, and proximity to the town of Sandviken.
-
A.
Järbo
Järbo is a locality in Gävleborg County, Sweden, known as a small community within the Sandviken area.
-
B.
Svalöv
Svalöv is a small locality and municipality in Skåne County in southern Sweden, known for its rural landscape and agricultural surroundings.
-
C.
Bollnäs
Bollnäs is a small Swedish town known for its scenic lakeside setting, traditional wooden architecture, and strong bandy sports culture.
-
D.
Bollstanäs
Bollstanäs is a residential locality in Sweden situated within the suburban area of Upplands Väsby, north of Stockholm.
-
E.
Eidskog
Eidskog is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and location along the Swedish border.
- 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_69ca848a5a908190aad251f4137b0c3a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b51b08081908e30744607b28953 |
completed | April 1, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d189fd53fc8190bc36f2b8e0e21036 |
completed | April 4, 2026, 10 p.m. |
| NEDg | Description generation | batch_69d18acf86588190bc000f701bcaaa1c |
completed | April 4, 2026, 10:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d18ba396cc8190a3ded2ac3968c553 |
completed | April 4, 2026, 10:07 p.m. |
Created at: March 30, 2026, 8:11 p.m.