Triple

T8616982
Position Surface form Disambiguated ID Type / Status
Subject Peter Englund E204062 entity
Predicate notable work P4 FINISHED
Object Ofredsår
Ofredsår is a historical work by Swedish historian Peter Englund that vividly chronicles the turmoil and human experience of the Thirty Years' War.
E745537 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: Ofredsår | Statement: [Peter Englund, notable work, Ofredsår]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ofredsår
Context triple: [Peter Englund, notable work, Ofredsår]
  • A. Storvreten
    Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
  • B. Den Osse
    Den Osse is a small Dutch coastal village and marina resort on the Grevelingenmeer, known for water sports, diving, and recreational tourism.
  • C. Orlyk
    Orlyk is a Ukrainian surname most notably associated with Pylyp Orlyk, an 18th-century Cossack leader and author of one of Europe’s earliest constitutional documents.
  • D. Sudreyjar
    Sudreyjar was the Norse-Gaelic kingdom of the Southern Isles of Scotland, including the Hebrides and nearby islands, that formed a major maritime power in the medieval North Atlantic.
  • E. Vestre Toten
    Vestre Toten is a municipality in Innlandet county, Norway, known for its mix of rural landscapes, small towns, and industrial activity.
  • 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: Ofredsår
Triple: [Peter Englund, notable work, Ofredsår]
Generated description
Ofredsår is a historical work by Swedish historian Peter Englund that vividly chronicles the turmoil and human experience of the Thirty Years' War.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ofredsår
Target entity description: Ofredsår is a historical work by Swedish historian Peter Englund that vividly chronicles the turmoil and human experience of the Thirty Years' War.
  • A. Storvreten
    Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
  • B. Den Osse
    Den Osse is a small Dutch coastal village and marina resort on the Grevelingenmeer, known for water sports, diving, and recreational tourism.
  • C. Orlyk
    Orlyk is a Ukrainian surname most notably associated with Pylyp Orlyk, an 18th-century Cossack leader and author of one of Europe’s earliest constitutional documents.
  • D. Sudreyjar
    Sudreyjar was the Norse-Gaelic kingdom of the Southern Isles of Scotland, including the Hebrides and nearby islands, that formed a major maritime power in the medieval North Atlantic.
  • E. Vestre Toten
    Vestre Toten is a municipality in Innlandet county, Norway, known for its mix of rural landscapes, small towns, and industrial activity.
  • 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_69ca832ceab8819096e4a9f546695079 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc4711c7748190af26ff5a78ef66a2 completed March 31, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea923ae148190a973ef8ad6ccac9a completed April 2, 2026, 5:36 p.m.
NEDg Description generation batch_69cea9d23cc88190b937e89b9aa2bd66 completed April 2, 2026, 5:39 p.m.
NED2 Entity disambiguation (via description) batch_69ceaaed65a4819083b6a30baa2c0b97 completed April 2, 2026, 5:44 p.m.
Created at: March 30, 2026, 6:25 p.m.