Triple

T10374166
Position Surface form Disambiguated ID Type / Status
Subject Rygge E244459 entity
Predicate hasSettlement P1068 FINISHED
Object Halmstad (Rygge)
Halmstad (Rygge) is a village in Rygge, Østfold, Norway, known as a local residential community within the Moss region.
 E860796 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: Halmstad (Rygge) | Statement: [Rygge, hasSettlement, Halmstad (Rygge)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Halmstad (Rygge)
Context triple: [Rygge, hasSettlement, Halmstad (Rygge)]
  • 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. Fredrikshamn
    Fredrikshamn (Hamina) is a coastal town in southeastern Finland that historically served as an important military and trading center.
  • C. Fagerborg
    Fagerborg is a residential neighborhood in Oslo, Norway, known for its central location, historic buildings, and proximity to major educational institutions.
  • D. Eidskog
    Eidskog is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and location along the Swedish border.
  • E. Steenodde
    Steenodde is a small coastal village on the North Sea island of Amrum in Germany, known for its tranquil atmosphere and maritime surroundings.
  • 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: Halmstad (Rygge)
Triple: [Rygge, hasSettlement, Halmstad (Rygge)]
Generated description
Halmstad (Rygge) is a village in Rygge, Østfold, Norway, known as a local residential community within the Moss region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Halmstad (Rygge)
Target entity description: Halmstad (Rygge) is a village in Rygge, Østfold, Norway, known as a local residential community within the Moss region.
  • 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. Fredrikshamn
    Fredrikshamn (Hamina) is a coastal town in southeastern Finland that historically served as an important military and trading center.
  • C. Fagerborg
    Fagerborg is a residential neighborhood in Oslo, Norway, known for its central location, historic buildings, and proximity to major educational institutions.
  • D. Eidskog
    Eidskog is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and location along the Swedish border.
  • E. Steenodde
    Steenodde is a small coastal village on the North Sea island of Amrum in Germany, known for its tranquil atmosphere and maritime surroundings.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9804e708190b15f5d38cac9c4c1 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7956ca1e08190880342b22a55783f completed April 9, 2026, 12:02 p.m.
NEDg Description generation batch_69d7bdde34408190a047ede29b91e182 completed April 9, 2026, 2:55 p.m.
NED2 Entity disambiguation (via description) batch_69d7e5fc6a008190b2a2326840074b53 completed April 9, 2026, 5:46 p.m.
Created at: April 6, 2026, 12:02 p.m.