Triple

T22312595
Position Surface form Disambiguated ID Type / Status
Subject Gjerdrum E551556 entity
Predicate hasSportsClub P346 FINISHED
Object Gjerdrum IL
Gjerdrum IL is a Norwegian multi-sport club based in Gjerdrum, fielding teams in several disciplines for the local community.
E1530156 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: Gjerdrum IL | Statement: [Gjerdrum, hasSportsClub, Gjerdrum IL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gjerdrum IL
Context triple: [Gjerdrum, hasSportsClub, Gjerdrum IL]
  • A. Raufoss IL
    Raufoss IL is a Norwegian multi-sport club best known for its football team, which has competed in the country’s higher divisions.
  • B. Førde IL
    Førde IL is a Norwegian multi-sport club based in Førde, known for organizing and supporting a variety of local sports activities and teams.
  • C. Kløfta IL
    Kløfta IL is a Norwegian multi-sport club based in Kløfta, best known for its local football and athletics activities.
  • D. Medkila IL
    Medkila IL is a Norwegian football club best known for its women's team competing in the country's top divisions.
  • E. Storhamar IL
    Storhamar IL is a Norwegian multi-sport club best known for its handball and ice hockey teams based in Hamar.
  • 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: Gjerdrum IL
Triple: [Gjerdrum, hasSportsClub, Gjerdrum IL]
Generated description
Gjerdrum IL is a Norwegian multi-sport club based in Gjerdrum, fielding teams in several disciplines for the local community.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gjerdrum IL
Target entity description: Gjerdrum IL is a Norwegian multi-sport club based in Gjerdrum, fielding teams in several disciplines for the local community.
  • A. Raufoss IL
    Raufoss IL is a Norwegian multi-sport club best known for its football team, which has competed in the country’s higher divisions.
  • B. Førde IL
    Førde IL is a Norwegian multi-sport club based in Førde, known for organizing and supporting a variety of local sports activities and teams.
  • C. Kløfta IL
    Kløfta IL is a Norwegian multi-sport club based in Kløfta, best known for its local football and athletics activities.
  • D. Medkila IL
    Medkila IL is a Norwegian football club best known for its women's team competing in the country's top divisions.
  • E. Storhamar IL
    Storhamar IL is a Norwegian multi-sport club best known for its handball and ice hockey teams based in Hamar.
  • 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_69e11e4776588190abb21e5cea79973f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1574f97cc81909685aeef15d02af9 completed April 29, 2026, 12:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0acca5f74c81908ef720575ee5c37b completed May 18, 2026, 8:24 a.m.
NEDg Description generation batch_6a0acf417a8881909f9c5f25334f4e95 completed May 18, 2026, 8:35 a.m.
NED2 Entity disambiguation (via description) batch_6a0ad00004688190bef5a507972ec7d2 completed May 18, 2026, 8:38 a.m.
Created at: April 16, 2026, 8:42 p.m.