Triple

T3272115
Position Surface form Disambiguated ID Type / Status
Subject Hamar E68670 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Ringsaker
Ringsaker is a municipality in Innlandet county, Norway, known for its agricultural landscapes along Lake Mjøsa and its proximity to the town of Hamar.
 E342716 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: Ringsaker | Statement: [Hamar, hasNeighboringMunicipality, Ringsaker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ringsaker
Context triple: [Hamar, hasNeighboringMunicipality, Ringsaker]
  • A. Ring
    Ring is a smart home security and video doorbell company known for its connected cameras and home monitoring services.
  • B. Rombaken
    Rombaken is a fjord in northern Norway, known as an inner branch of the Ofotfjord near the town of Narvik.
  • C. Ring (An Rinn)
    Ring (An Rinn) is a coastal Irish-speaking village and Gaeltacht community in County Waterford, renowned for its strong traditional culture and language.
  • D. Sannat
    Sannat is a small village on the island of Gozo in Malta, known for its traditional character and proximity to dramatic coastal cliffs.
  • E. Ringen
    Ringen is a station on the Oslo Metro system that serves as a key endpoint for certain metro lines in Norway’s capital.
  • 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: Ringsaker
Triple: [Hamar, hasNeighboringMunicipality, Ringsaker]
Generated description
Ringsaker is a municipality in Innlandet county, Norway, known for its agricultural landscapes along Lake Mjøsa and its proximity to the town of Hamar.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ringsaker
Target entity description: Ringsaker is a municipality in Innlandet county, Norway, known for its agricultural landscapes along Lake Mjøsa and its proximity to the town of Hamar.
  • A. Ring
    Ring is a smart home security and video doorbell company known for its connected cameras and home monitoring services.
  • B. Rombaken
    Rombaken is a fjord in northern Norway, known as an inner branch of the Ofotfjord near the town of Narvik.
  • C. Ring (An Rinn)
    Ring (An Rinn) is a coastal Irish-speaking village and Gaeltacht community in County Waterford, renowned for its strong traditional culture and language.
  • D. Sannat
    Sannat is a small village on the island of Gozo in Malta, known for its traditional character and proximity to dramatic coastal cliffs.
  • E. Ringen
    Ringen is a station on the Oslo Metro system that serves as a key endpoint for certain metro lines in Norway’s capital.
  • 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_69ad859b54f881909bf530d549caf2fd completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adaff6308881908886a44804a0bb09 completed March 8, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28f0793e08190af55ee16e5091451 completed March 12, 2026, 10:01 a.m.
NEDg Description generation batch_69b296709f84819094fe9db721a44f83 completed March 12, 2026, 10:33 a.m.
NED2 Entity disambiguation (via description) batch_69b2d6c47e908190b5be5b33da358ade completed March 12, 2026, 3:07 p.m.
Created at: March 8, 2026, 3:10 p.m.