Triple

T3145390
Position Surface form Disambiguated ID Type / Status
Subject Mjøsa E65750 entity
Predicate locatedNearTown P3883 FINISHED
Object Minnesund
Minnesund is a small village in Eidsvoll Municipality in Norway, situated at the southern end of Lake Mjøsa and known as a key transport junction.
E333330 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: Minnesund | Statement: [Mjøsa, locatedNearTown, Minnesund]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minnesund
Context triple: [Mjøsa, locatedNearTown, Minnesund]
  • A. Sennevika
    Sennevika is a small settlement located on the island of Senja in northern Norway, known for its coastal Arctic landscape.
  • B. Eemnes
    Eemnes is a small town and municipality in the central Netherlands known for its characteristic polder landscape and historic village centers.
  • C. Bekkestua
    Bekkestua is a suburban center in Bærum, Norway, functioning as a local commercial and transport hub just west of Oslo.
  • D. Hadsel
    Hadsel is a coastal municipality in Nordland county, Norway, known for encompassing several islands in the Vesterålen archipelago, including parts of Hadseløya, Langøya, and Austvågøya.
  • E. Birkenes
    Birkenes is a rural municipality in Agder county in southern Norway, known for its forests, rivers, and small villages.
  • 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: Minnesund
Triple: [Mjøsa, locatedNearTown, Minnesund]
Generated description
Minnesund is a small village in Eidsvoll Municipality in Norway, situated at the southern end of Lake Mjøsa and known as a key transport junction.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Minnesund
Target entity description: Minnesund is a small village in Eidsvoll Municipality in Norway, situated at the southern end of Lake Mjøsa and known as a key transport junction.
  • A. Sennevika
    Sennevika is a small settlement located on the island of Senja in northern Norway, known for its coastal Arctic landscape.
  • B. Eemnes
    Eemnes is a small town and municipality in the central Netherlands known for its characteristic polder landscape and historic village centers.
  • C. Bekkestua
    Bekkestua is a suburban center in Bærum, Norway, functioning as a local commercial and transport hub just west of Oslo.
  • D. Hadsel
    Hadsel is a coastal municipality in Nordland county, Norway, known for encompassing several islands in the Vesterålen archipelago, including parts of Hadseløya, Langøya, and Austvågøya.
  • E. Birkenes
    Birkenes is a rural municipality in Agder county in southern Norway, known for its forests, rivers, and small villages.
  • 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_69ad8582f564819088c27e1f96153938 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada59797788190a8d71262888c5df0 completed March 8, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b235bad36c8190ab93312950380d36 completed March 12, 2026, 3:40 a.m.
NEDg Description generation batch_69b236e4efe08190ade7c1cc4b941639 completed March 12, 2026, 3:45 a.m.
NED2 Entity disambiguation (via description) batch_69b2375a75488190b3f2215c85d43f9c completed March 12, 2026, 3:47 a.m.
Created at: March 8, 2026, 3:05 p.m.