Triple

T5663224
Position Surface form Disambiguated ID Type / Status
Subject Bjørnstjerne Bjørnson E124792 entity
Predicate residence P75 FINISHED
Object Aulestad
Aulestad is the historic Norwegian country estate and museum best known as the longtime home of Nobel Prize–winning writer Bjørnstjerne Bjørnson.
E542540 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: Aulestad | Statement: [Bjørnstjerne Bjørnson, residence, Aulestad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aulestad
Context triple: [Bjørnstjerne Bjørnson, residence, Aulestad]
  • A. Grebbestad
    Grebbestad is a coastal fishing village and popular tourist destination in Tanum Municipality on Sweden’s west coast, known for its seafood and picturesque archipelago.
  • B. Aursunden
    Aursunden is a large lake in Røros municipality in Trøndelag county, Norway, known for its scenic surroundings and role in regional hydrology.
  • C. Stordal
    Stordal is a small village and former municipality in western Norway, known for its scenic fjord landscape and traditional Norwegian architecture.
  • D. Flesberg
    Flesberg is a rural municipality in southeastern Norway known for its forests, traditional wooden architecture, and location in the Numedal valley.
  • 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: Aulestad
Triple: [Bjørnstjerne Bjørnson, residence, Aulestad]
Generated description
Aulestad is the historic Norwegian country estate and museum best known as the longtime home of Nobel Prize–winning writer Bjørnstjerne Bjørnson.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Aulestad
Target entity description: Aulestad is the historic Norwegian country estate and museum best known as the longtime home of Nobel Prize–winning writer Bjørnstjerne Bjørnson.
  • A. Grebbestad
    Grebbestad is a coastal fishing village and popular tourist destination in Tanum Municipality on Sweden’s west coast, known for its seafood and picturesque archipelago.
  • B. Aursunden
    Aursunden is a large lake in Røros municipality in Trøndelag county, Norway, known for its scenic surroundings and role in regional hydrology.
  • C. Stordal
    Stordal is a small village and former municipality in western Norway, known for its scenic fjord landscape and traditional Norwegian architecture.
  • D. Flesberg
    Flesberg is a rural municipality in southeastern Norway known for its forests, traditional wooden architecture, and location in the Numedal valley.
  • 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_69c00828906881908966f270b8f130cf completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023232e6481909b2a0456d240fe8e completed March 22, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a2b38c88190bdd0e172644df081 completed March 22, 2026, 9:07 p.m.
NEDg Description generation batch_69c062029e3c8190ade3f0836d6b3842 completed March 22, 2026, 9:41 p.m.
NED2 Entity disambiguation (via description) batch_69c06268eb0c8190959ba762c2d9b47d completed March 22, 2026, 9:43 p.m.
Created at: March 22, 2026, 3:43 p.m.