Triple

T2207010
Position Surface form Disambiguated ID Type / Status
Subject Sarpsborg E50822 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object Råde
Råde is a municipality in Viken county in southeastern Norway, known for its rural landscape and proximity to the city of Sarpsborg.
 E245865 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: Råde | Statement: [Sarpsborg, hasNeighbouringMunicipality, Råde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Råde
Context triple: [Sarpsborg, hasNeighbouringMunicipality, Råde]
  • A. Svaneke
    Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
  • B. Odelsting
    The Odelsting was one of the two former chambers of the Norwegian Parliament, historically responsible for initiating and passing most legislation before Norway adopted a unicameral system.
  • C. Solvang
    Solvang is a Danish-themed tourist town in California known for its Scandinavian architecture, bakeries, and wineries.
  • D. Arendal
    Arendal is a coastal town and municipality in southern Norway known historically as a regional political and trading center.
  • E. Hellebæk
    Hellebæk is a coastal town in northeastern Zealand, Denmark, known for its scenic setting near Helsingør and its historic industrial and residential architecture.
  • 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: Råde
Triple: [Sarpsborg, hasNeighbouringMunicipality, Råde]
Generated description
Råde is a municipality in Viken county in southeastern Norway, known for its rural landscape and proximity to the city of Sarpsborg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Råde
Target entity description: Råde is a municipality in Viken county in southeastern Norway, known for its rural landscape and proximity to the city of Sarpsborg.
  • A. Svaneke
    Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
  • B. Odelsting
    The Odelsting was one of the two former chambers of the Norwegian Parliament, historically responsible for initiating and passing most legislation before Norway adopted a unicameral system.
  • C. Solvang
    Solvang is a Danish-themed tourist town in California known for its Scandinavian architecture, bakeries, and wineries.
  • D. Arendal
    Arendal is a coastal town and municipality in southern Norway known historically as a regional political and trading center.
  • E. Hellebæk
    Hellebæk is a coastal town in northeastern Zealand, Denmark, known for its scenic setting near Helsingør and its historic industrial and residential architecture.
  • 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_69a88b06709c8190978fb2418470d1b6 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbfcbb83081908d5b2f1603c7b4d2 completed March 7, 2026, 6:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae654b89b081908f8c8b9bfc0b6579 completed March 9, 2026, 6:14 a.m.
NEDg Description generation batch_69ae667dede88190b3d1f8bb8866e19e completed March 9, 2026, 6:19 a.m.
NED2 Entity disambiguation (via description) batch_69ae66f12c648190a146de7b2bfdb541 completed March 9, 2026, 6:21 a.m.
Created at: March 4, 2026, 7:46 p.m.