Triple

T13808256
Position Surface form Disambiguated ID Type / Status
Subject Gran municipality E331814 entity
Predicate contains P35 FINISHED
Object Granavollen
Granavollen is a historic village in Innlandet county, Norway, known for its medieval Sister Churches and role as a cultural and religious center in the Gran area.
E1064457 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: Granavollen | Statement: [Gran municipality, contains, Granavollen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Granavollen
Context triple: [Gran municipality, contains, Granavollen]
  • A. Gravdal
    Gravdal is a small coastal village on the island of Vestvågøy in Norway’s Lofoten archipelago.
  • 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. Fløya
    Fløya is a Norwegian women's football club based in Tromsø that competes in the country's league system.
  • D. Reinheim
    Reinheim is a small town in the German state of Hesse, located southeast of Darmstadt in the Darmstadt-Dieburg district.
  • E. Bergshamra
    Bergshamra is a residential district in the northern Stockholm urban area of Sweden, known for its proximity to green spaces and good public transport connections.
  • 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: Granavollen
Triple: [Gran municipality, contains, Granavollen]
Generated description
Granavollen is a historic village in Innlandet county, Norway, known for its medieval Sister Churches and role as a cultural and religious center in the Gran area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Granavollen
Target entity description: Granavollen is a historic village in Innlandet county, Norway, known for its medieval Sister Churches and role as a cultural and religious center in the Gran area.
  • A. Gravdal
    Gravdal is a small coastal village on the island of Vestvågøy in Norway’s Lofoten archipelago.
  • 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. Fløya
    Fløya is a Norwegian women's football club based in Tromsø that competes in the country's league system.
  • D. Reinheim
    Reinheim is a small town in the German state of Hesse, located southeast of Darmstadt in the Darmstadt-Dieburg district.
  • E. Bergshamra
    Bergshamra is a residential district in the northern Stockholm urban area of Sweden, known for its proximity to green spaces and good public transport connections.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de026eae8481908b8880635e6a9152 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8dc1ec0819098c4f32eb3991613 completed May 3, 2026, 9:06 p.m.
NEDg Description generation batch_69f7ba6558fc819082dae55863a9a3b1 completed May 3, 2026, 9:13 p.m.
NED2 Entity disambiguation (via description) batch_69f7bb15d31c81909959e50219c4d905 completed May 3, 2026, 9:16 p.m.
Created at: April 9, 2026, 10:12 p.m.