Triple

T1044273
Position Surface form Disambiguated ID Type / Status
Subject Botkyrka Municipality E22540 entity
Predicate hasLocality P7943 FINISHED
Object Myrstuguberget
Myrstuguberget is a residential locality situated within Botkyrka Municipality in Stockholm County, Sweden.
 E120616 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: Myrstuguberget | Statement: [Botkyrka Municipality, hasLocality, Myrstuguberget]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Myrstuguberget
Context triple: [Botkyrka Municipality, hasLocality, Myrstuguberget]
  • A. Rondane
    Rondane is a mountainous national park in central Norway known for its high peaks, alpine plateaus, and rich wildlife, including wild reindeer.
  • B. Stetind
    Stetind is a distinctive, obelisk-shaped granite mountain in Nordland, Norway, often called Norway’s national mountain and renowned among climbers and photographers.
  • C. Galdhøpiggen
    Galdhøpiggen is the highest mountain in Norway and Scandinavia, located in the Jotunheimen range.
  • D. Hovdetoppen
    Hovdetoppen is a mountain in Gjøvik, Norway, notable for housing the underground Gjøvik Olympic Cavern Hall built for the 1994 Winter Olympics.
  • E. Finnmarksvidda
    Finnmarksvidda is a vast, sparsely populated Arctic plateau in Norway known for its tundra landscapes, reindeer herding, and extreme winter cold.
  • 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: Myrstuguberget
Triple: [Botkyrka Municipality, hasLocality, Myrstuguberget]
Generated description
Myrstuguberget is a residential locality situated within Botkyrka Municipality in Stockholm County, Sweden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Myrstuguberget
Target entity description: Myrstuguberget is a residential locality situated within Botkyrka Municipality in Stockholm County, Sweden.
  • A. Rondane
    Rondane is a mountainous national park in central Norway known for its high peaks, alpine plateaus, and rich wildlife, including wild reindeer.
  • B. Stetind
    Stetind is a distinctive, obelisk-shaped granite mountain in Nordland, Norway, often called Norway’s national mountain and renowned among climbers and photographers.
  • C. Galdhøpiggen
    Galdhøpiggen is the highest mountain in Norway and Scandinavia, located in the Jotunheimen range.
  • D. Hovdetoppen
    Hovdetoppen is a mountain in Gjøvik, Norway, notable for housing the underground Gjøvik Olympic Cavern Hall built for the 1994 Winter Olympics.
  • E. Finnmarksvidda
    Finnmarksvidda is a vast, sparsely populated Arctic plateau in Norway known for its tundra landscapes, reindeer herding, and extreme winter cold.
  • 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_69a493d91478819094cc01fb65564bc1 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8475ab48190848388eea6448cb6 completed March 1, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bc97dec81909b6ad48e3f203923 completed March 7, 2026, 2:52 p.m.
NEDg Description generation batch_69ac3c42c2c081909ccadbf944d3aa6c completed March 7, 2026, 2:54 p.m.
NED2 Entity disambiguation (via description) batch_69ac3cbd43848190854add440753fdad completed March 7, 2026, 2:57 p.m.
Created at: March 1, 2026, 7:42 p.m.