Triple

T17087453
Position Surface form Disambiguated ID Type / Status
Subject Bjørnafjorden E414634 entity
Predicate hasIsland P970 FINISHED
Object Reksteren
Reksteren is a Norwegian island located in Vestland county, known for its rugged coastline and rural coastal communities.
E1249123 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: Reksteren | Statement: [Bjørnafjorden, hasIsland, Reksteren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reksteren
Context triple: [Bjørnafjorden, hasIsland, Reksteren]
  • A. Renkum
    Renkum is a municipality and town in the province of Gelderland in the eastern Netherlands, known for its riverside landscapes and proximity to the city of Arnhem.
  • B. Runsten
    Runsten is a small locality on the island of Öland in southeastern Sweden, known for its rural landscape and historical stone monuments.
  • C. Dromtacker
    Dromtacker is an area in Tralee, County Kerry, Ireland, known for hosting a main campus of Munster Technological University.
  • D. Ropscha
    Ropscha is a rural locality in Leningrad Oblast, Russia, historically known for its imperial estate associated with the Russian royal family.
  • E. Riedle
    Riedle is a German surname most notably associated with former professional footballer and World Cup winner Karl-Heinz Riedle.
  • 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: Reksteren
Triple: [Bjørnafjorden, hasIsland, Reksteren]
Generated description
Reksteren is a Norwegian island located in Vestland county, known for its rugged coastline and rural coastal communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Reksteren
Target entity description: Reksteren is a Norwegian island located in Vestland county, known for its rugged coastline and rural coastal communities.
  • A. Renkum
    Renkum is a municipality and town in the province of Gelderland in the eastern Netherlands, known for its riverside landscapes and proximity to the city of Arnhem.
  • B. Runsten
    Runsten is a small locality on the island of Öland in southeastern Sweden, known for its rural landscape and historical stone monuments.
  • C. Dromtacker
    Dromtacker is an area in Tralee, County Kerry, Ireland, known for hosting a main campus of Munster Technological University.
  • D. Ropscha
    Ropscha is a rural locality in Leningrad Oblast, Russia, historically known for its imperial estate associated with the Russian royal family.
  • E. Riedle
    Riedle is a German surname most notably associated with former professional footballer and World Cup winner Karl-Heinz Riedle.
  • 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbe92e488190b947287a968086d5 completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ee81fd08190a7e1f5958fbe3b97 completed May 11, 2026, 1:20 a.m.
NEDg Description generation batch_6a012ff7788c819086b2e6c0e382014c completed May 11, 2026, 1:25 a.m.
NED2 Entity disambiguation (via description) batch_6a0130dbe1f8819095b2d36882bf3287 completed May 11, 2026, 1:29 a.m.
Created at: April 10, 2026, 5:35 a.m.