Triple

T1561030
Position Surface form Disambiguated ID Type / Status
Subject Oslofjord E33322 entity
Predicate near P350 FINISHED
Object Drøbak
Drøbak is a coastal town in southeastern Norway known for its historic harbor, charming wooden houses, and role as a gateway to the Oslofjord.
 E211151 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: Drøbak | Statement: [Oslofjord, near, Drøbak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Drøbak
Context triple: [Oslofjord, near, Drøbak]
  • A. Bjørvika
    Bjørvika is a waterfront neighborhood in central Oslo, Norway, known for its modern architecture and cultural institutions such as the Munch Museum and the Oslo Opera House.
  • B. Tjøme
    Tjøme is a scenic island and former municipality in Vestfold, Norway, known for its coastal landscapes, summer cabins, and popular seaside recreation areas.
  • C. Kjelsås
    Kjelsås is a residential neighborhood in northern Oslo, Norway, known for its hilly terrain, proximity to Marka forest, and access to the city via tram and rail connections.
  • D. Norsjø
    Norsjø is a large lake in Telemark, Eastern Norway, known as an important part of the Telemark Canal waterway system.
  • E. Randsfjorden
    Randsfjorden is one of Norway’s largest inland lakes, located in Eastern Norway and known for its elongated shape and surrounding forested landscapes.
  • 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: Drøbak
Triple: [Oslofjord, near, Drøbak]
Generated description
Drøbak is a coastal town in southeastern Norway known for its historic harbor, charming wooden houses, and role as a gateway to the Oslofjord.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Drøbak
Target entity description: Drøbak is a coastal town in southeastern Norway known for its historic harbor, charming wooden houses, and role as a gateway to the Oslofjord.
  • A. Bjørvika
    Bjørvika is a waterfront neighborhood in central Oslo, Norway, known for its modern architecture and cultural institutions such as the Munch Museum and the Oslo Opera House.
  • B. Tjøme
    Tjøme is a scenic island and former municipality in Vestfold, Norway, known for its coastal landscapes, summer cabins, and popular seaside recreation areas.
  • C. Kjelsås
    Kjelsås is a residential neighborhood in northern Oslo, Norway, known for its hilly terrain, proximity to Marka forest, and access to the city via tram and rail connections.
  • D. Norsjø
    Norsjø is a large lake in Telemark, Eastern Norway, known as an important part of the Telemark Canal waterway system.
  • E. Randsfjorden
    Randsfjorden is one of Norway’s largest inland lakes, located in Eastern Norway and known for its elongated shape and surrounding forested landscapes.
  • 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_69a885ef9cf48190b0af0f5ce3d02231 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9088710a881909a1226e4b54311b8 completed March 5, 2026, 4:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeac0be308190a12ba8e79589dead completed March 8, 2026, 9:31 p.m.
NEDg Description generation batch_69adeb330fe0819096ac927838b6ee2f completed March 8, 2026, 9:33 p.m.
NED2 Entity disambiguation (via description) batch_69adebb1d7748190b5cd33d163368eae completed March 8, 2026, 9:35 p.m.
Created at: March 4, 2026, 7:27 p.m.