Triple

T15878536
Position Surface form Disambiguated ID Type / Status
Subject Gloppen E385011 entity
Predicate hasSportClub P346 FINISHED
Object Breimsbygda IL
Breimsbygda IL is a Norwegian multi-sport club based in the municipality of Gloppen in Vestland county.
E1181881 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: Breimsbygda IL | Statement: [Gloppen, hasSportClub, Breimsbygda IL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Breimsbygda IL
Context triple: [Gloppen, hasSportClub, Breimsbygda IL]
  • A. Drøbak-Frogn IL
    Drøbak-Frogn IL is a Norwegian sports club best known for its football program, which helped develop future international star Martin Ødegaard in his youth.
  • B. Osedalen
    Osedalen is a village in Froland municipality in Agder county in southern Norway.
  • C. Hønefoss
    Hønefoss is a Norwegian town known as a regional commercial and transport hub, situated along the Begna River northwest of Oslo.
  • D. Beitstad
    Beitstad was a former municipality in Trøndelag county, Norway, that later became part of the town and municipality of Steinkjer.
  • E. Bremsnes
    Bremsnes is a village on the island of Averøya in Møre og Romsdal county, Norway, known for its coastal setting and local church.
  • 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: Breimsbygda IL
Triple: [Gloppen, hasSportClub, Breimsbygda IL]
Generated description
Breimsbygda IL is a Norwegian multi-sport club based in the municipality of Gloppen in Vestland county.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Breimsbygda IL
Target entity description: Breimsbygda IL is a Norwegian multi-sport club based in the municipality of Gloppen in Vestland county.
  • A. Drøbak-Frogn IL
    Drøbak-Frogn IL is a Norwegian sports club best known for its football program, which helped develop future international star Martin Ødegaard in his youth.
  • B. Osedalen
    Osedalen is a village in Froland municipality in Agder county in southern Norway.
  • C. Hønefoss
    Hønefoss is a Norwegian town known as a regional commercial and transport hub, situated along the Begna River northwest of Oslo.
  • D. Beitstad
    Beitstad was a former municipality in Trøndelag county, Norway, that later became part of the town and municipality of Steinkjer.
  • E. Bremsnes
    Bremsnes is a village on the island of Averøya in Møre og Romsdal county, Norway, known for its coastal setting and local church.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e155ff96588190b8fca1c3bf4a39a2 completed April 16, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa9529ac48190993d1af234faea3b completed May 9, 2026, 9:38 p.m.
NEDg Description generation batch_69ffa9e9b17c8190b98d930fd5cb0723 completed May 9, 2026, 9:40 p.m.
NED2 Entity disambiguation (via description) batch_69ffaa973274819080889e1b9883b8dc completed May 9, 2026, 9:43 p.m.
Created at: April 10, 2026, 4:51 a.m.