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.