Triple

T22791807
Position Surface form Disambiguated ID Type / Status
Subject Wedel Jarlsberg family E564130 entity
Predicate seat P75 FINISHED
Object Jarlsberg, Vestfold
Jarlsberg, Vestfold is a historic estate and manor area in southern Norway, closely associated with the noble Wedel Jarlsberg family and the surrounding agricultural region.
E1555114 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: Jarlsberg, Vestfold | Statement: [Wedel Jarlsberg family, seat, Jarlsberg, Vestfold]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jarlsberg, Vestfold
Context triple: [Wedel Jarlsberg family, seat, Jarlsberg, Vestfold]
  • A. Røssvoll
    Røssvoll is a small village in Nordland county, Norway, known for its local airport serving the Rana region.
  • B. Sokndal
    Sokndal is a coastal municipality in Rogaland county in southwestern Norway, known for its rugged coastline, historic settlements, and distinctive geological landscapes.
  • C. Sandnes
    Sandnes is a small settlement located within Masfjorden Municipality in Vestland county, western Norway.
  • D. Sandnes
    Sandnes is a city in southwestern Norway, near Stavanger, known for its proximity to fjords and outdoor recreation areas.
  • E. Bjerkreim
    Bjerkreim is a rural municipality in southwestern Norway known for its rivers, salmon fishing, and agricultural landscape.
  • 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: Jarlsberg, Vestfold
Triple: [Wedel Jarlsberg family, seat, Jarlsberg, Vestfold]
Generated description
Jarlsberg, Vestfold is a historic estate and manor area in southern Norway, closely associated with the noble Wedel Jarlsberg family and the surrounding agricultural region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jarlsberg, Vestfold
Target entity description: Jarlsberg, Vestfold is a historic estate and manor area in southern Norway, closely associated with the noble Wedel Jarlsberg family and the surrounding agricultural region.
  • A. Røssvoll
    Røssvoll is a small village in Nordland county, Norway, known for its local airport serving the Rana region.
  • B. Sokndal
    Sokndal is a coastal municipality in Rogaland county in southwestern Norway, known for its rugged coastline, historic settlements, and distinctive geological landscapes.
  • C. Sandnes
    Sandnes is a small settlement located within Masfjorden Municipality in Vestland county, western Norway.
  • D. Sandnes
    Sandnes is a city in southwestern Norway, near Stavanger, known for its proximity to fjords and outdoor recreation areas.
  • E. Bjerkreim
    Bjerkreim is a rural municipality in southwestern Norway known for its rivers, salmon fishing, and agricultural landscape.
  • 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_69e2458185f88190b0045227ee420411 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17cd5778c81909a18317ff98e341c completed April 29, 2026, 3:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b9e9214ec8190a67d9d97c74d5064 completed May 18, 2026, 11:19 p.m.
NEDg Description generation batch_6a0ba09cd4d48190b00db42dc43db779 completed May 18, 2026, 11:28 p.m.
NED2 Entity disambiguation (via description) batch_6a0ba13332588190a73ab3a52825a1fe completed May 18, 2026, 11:30 p.m.
Created at: April 17, 2026, 3:30 p.m.