Triple
T18413817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nora Municipality |
E441834
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Pershyttan
Pershyttan is a historic Swedish mining village in central Sweden, known for its well-preserved 17th–19th century ironworks and traditional wooden buildings.
|
E1322810
|
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: Pershyttan | Statement: [Nora Municipality, contains, Pershyttan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pershyttan Context triple: [Nora Municipality, contains, Pershyttan]
-
A.
Lessebo
Lessebo is a small locality and municipality in southern Sweden known for its traditional paper mill and glassmaking heritage.
-
B.
Bordesholm
Bordesholm is a small town in Schleswig-Holstein, northern Germany, historically notable as a religious and cultural center and as the burial site of regional nobility.
-
C.
Borðoy
Borðoy is one of the main islands of the Faroe Islands, known for its rugged landscapes and the town of Klaksvík, the country’s second-largest settlement.
-
D.
Baljåsen
Baljåsen is a hill in western Sweden known as the highest natural point in the historical province of Dalsland.
-
E.
Norén
Norén is a Swedish surname, notably borne by actress Noomi Rapace before she adopted her stage name.
- 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: Pershyttan Triple: [Nora Municipality, contains, Pershyttan]
Generated description
Pershyttan is a historic Swedish mining village in central Sweden, known for its well-preserved 17th–19th century ironworks and traditional wooden buildings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pershyttan Target entity description: Pershyttan is a historic Swedish mining village in central Sweden, known for its well-preserved 17th–19th century ironworks and traditional wooden buildings.
-
A.
Lessebo
Lessebo is a small locality and municipality in southern Sweden known for its traditional paper mill and glassmaking heritage.
-
B.
Bordesholm
Bordesholm is a small town in Schleswig-Holstein, northern Germany, historically notable as a religious and cultural center and as the burial site of regional nobility.
-
C.
Borðoy
Borðoy is one of the main islands of the Faroe Islands, known for its rugged landscapes and the town of Klaksvík, the country’s second-largest settlement.
-
D.
Baljåsen
Baljåsen is a hill in western Sweden known as the highest natural point in the historical province of Dalsland.
-
E.
Norén
Norén is a Swedish surname, notably borne by actress Noomi Rapace before she adopted her stage name.
- 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51a26d268819098e6791dc98efcda |
completed | April 19, 2026, 6:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03e24be008819083d4ab019e8c66a6 |
completed | May 13, 2026, 2:30 a.m. |
| NEDg | Description generation | batch_6a03e7a576b881908267669e3ed394cf |
completed | May 13, 2026, 2:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03e8046c188190b860addd21ee8346 |
completed | May 13, 2026, 2:55 a.m. |
Created at: April 10, 2026, 10:47 a.m.