Triple

T5406198
Position Surface form Disambiguated ID Type / Status
Subject Agder E120897 entity
Predicate containsFjord P5879 FINISHED
Object Topdalsfjorden
Topdalsfjorden is a coastal fjord in southern Norway, located near the city of Kristiansand in Agder county.
E518443 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: Topdalsfjorden | Statement: [Agder, containsFjord, Topdalsfjorden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Topdalsfjorden
Context triple: [Agder, containsFjord, Topdalsfjorden]
  • A. Flekkefjord
    Flekkefjord is a coastal town in southern Norway known for its historic wooden architecture, maritime heritage, and picturesque fjord setting.
  • B. Hjeltefjorden
    Hjeltefjorden is a coastal fjord in Vestland county, western Norway, forming an important maritime route north of Bergen between the island of Sotra and the mainland.
  • C. Randsfjorden
    Randsfjorden is one of Norway’s largest inland lakes, located in Eastern Norway and known for its elongated shape and surrounding forested landscapes.
  • D. Ranfjorden
    Ranfjorden is a long, narrow fjord in Nordland county, Norway, known for its dramatic coastal landscape and the industrial town of Mo i Rana along its shores.
  • E. Vågsfjorden
    Vågsfjorden is a fjord in northern Norway known for its scenic coastal landscapes and as a maritime hub for surrounding towns and islands.
  • 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: Topdalsfjorden
Triple: [Agder, containsFjord, Topdalsfjorden]
Generated description
Topdalsfjorden is a coastal fjord in southern Norway, located near the city of Kristiansand in Agder county.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Topdalsfjorden
Target entity description: Topdalsfjorden is a coastal fjord in southern Norway, located near the city of Kristiansand in Agder county.
  • A. Flekkefjord
    Flekkefjord is a coastal town in southern Norway known for its historic wooden architecture, maritime heritage, and picturesque fjord setting.
  • B. Hjeltefjorden
    Hjeltefjorden is a coastal fjord in Vestland county, western Norway, forming an important maritime route north of Bergen between the island of Sotra and the mainland.
  • C. Randsfjorden
    Randsfjorden is one of Norway’s largest inland lakes, located in Eastern Norway and known for its elongated shape and surrounding forested landscapes.
  • D. Ranfjorden
    Ranfjorden is a long, narrow fjord in Nordland county, Norway, known for its dramatic coastal landscape and the industrial town of Mo i Rana along its shores.
  • E. Vågsfjorden
    Vågsfjorden is a fjord in northern Norway known for its scenic coastal landscapes and as a maritime hub for surrounding towns and islands.
  • 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_69bd46391c0c81909fa484446732b6a3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd87924c588190beb4a1be27f8d11b completed March 20, 2026, 5:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3aa0b00c8190aab3e475e19c3276 completed March 22, 2026, 12:41 a.m.
NEDg Description generation batch_69bf3b592a08819090e2873bcf4e797f completed March 22, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_69bf3c0b9e5481909101eccbd55f24b2 completed March 22, 2026, 12:47 a.m.
Created at: March 20, 2026, 2:05 p.m.