Triple

T3517872
Position Surface form Disambiguated ID Type / Status
Subject Stavanger E74350 entity
Predicate partOf P40 FINISHED
Object Jæren region
The Jæren region is a coastal area in southwestern Norway known for its flat, fertile farmland, long sandy beaches, and the city of Stavanger as its main urban center.
E384979 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: Jæren region | Statement: [Stavanger, partOf, Jæren region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jæren region
Context triple: [Stavanger, partOf, Jæren region]
  • A. Oslofjord region
    The Oslofjord region is a coastal area in southeastern Norway centered around the Oslofjord, known for its ports, maritime activities, and proximity to the capital city, Oslo.
  • B. Sogn og Fjordane
    Sogn og Fjordane was a former county in western Norway known for its dramatic fjords, mountains, and coastal landscapes.
  • C. Agder
    Agder is a county in southern Norway known for its long coastline, maritime heritage, and popular coastal towns and islands.
  • D. Trøndelag
    Trøndelag is a central region of Norway known for its historic city of Trondheim, coastal landscapes, and strong cultural traditions.
  • E. Hordaland
    Hordaland was a former county in western Norway known for its fjords, coastal landscapes, and the city of Bergen.
  • 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: Jæren region
Triple: [Stavanger, partOf, Jæren region]
Generated description
The Jæren region is a coastal area in southwestern Norway known for its flat, fertile farmland, long sandy beaches, and the city of Stavanger as its main urban center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jæren region
Target entity description: The Jæren region is a coastal area in southwestern Norway known for its flat, fertile farmland, long sandy beaches, and the city of Stavanger as its main urban center.
  • A. Oslofjord region
    The Oslofjord region is a coastal area in southeastern Norway centered around the Oslofjord, known for its ports, maritime activities, and proximity to the capital city, Oslo.
  • B. Sogn og Fjordane
    Sogn og Fjordane was a former county in western Norway known for its dramatic fjords, mountains, and coastal landscapes.
  • C. Agder
    Agder is a county in southern Norway known for its long coastline, maritime heritage, and popular coastal towns and islands.
  • D. Trøndelag
    Trøndelag is a central region of Norway known for its historic city of Trondheim, coastal landscapes, and strong cultural traditions.
  • E. Hordaland
    Hordaland was a former county in western Norway known for its fjords, coastal landscapes, and the city of Bergen.
  • 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_69ad85cfb5c881909c9a2edd9d6043cc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc32f90081908960acb3e94402be completed March 8, 2026, 6:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4daf2b170819095a337246675e4c4 completed March 14, 2026, 3:50 a.m.
NEDg Description generation batch_69b4df3ea76081908265c097acc22379 completed March 14, 2026, 4:08 a.m.
NED2 Entity disambiguation (via description) batch_69b4dff10c4481908f180748ad77b2d4 completed March 14, 2026, 4:11 a.m.
Created at: March 8, 2026, 3:19 p.m.