Triple

T8002735
Position Surface form Disambiguated ID Type / Status
Subject Bærum E186288 entity
Predicate hasSportsClub P346 FINISHED
Object Haslum HK
Haslum HK is a Norwegian handball club based in Bærum, known for competing at a high level in national leagues.
 E595712 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: Haslum HK | Statement: [Bærum, hasSportsClub, Haslum HK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Haslum HK
Context triple: [Bærum, hasSportsClub, Haslum HK]
  • A. Haslum
    Haslum is a suburban area in Bærum, Norway, known for its residential neighborhoods and proximity to Oslo.
  • B. Hafslund
    Hafslund is a major Norwegian energy and utility company known for its role in electricity production, distribution, and related services.
  • C. Karlssen
    Karlssen is a Scandinavian-origin surname, likely a patronymic variant related to the more common name Carlson.
  • D. Hasle
    Hasle is a small coastal town on the Danish island of Bornholm, known for its historic harbor, smoked herring, and scenic Baltic Sea surroundings.
  • E. Lofsrud
    Lofsrud is a residential area and neighborhood within the Søndre Nordstrand borough of Oslo, Norway.
  • 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: Haslum HK
Triple: [Bærum, hasSportsClub, Haslum HK]
Generated description
Haslum HK is a Norwegian handball club based in Bærum, known for competing at a high level in national leagues.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Haslum HK
Target entity description: Haslum HK is a Norwegian handball club based in Bærum, known for competing at a high level in national leagues.
  • A. Haslum chosen
    Haslum is a suburban area in Bærum, Norway, known for its residential neighborhoods and proximity to Oslo.
  • B. Hafslund
    Hafslund is a major Norwegian energy and utility company known for its role in electricity production, distribution, and related services.
  • C. Karlssen
    Karlssen is a Scandinavian-origin surname, likely a patronymic variant related to the more common name Carlson.
  • D. Hasle
    Hasle is a small coastal town on the Danish island of Bornholm, known for its historic harbor, smoked herring, and scenic Baltic Sea surroundings.
  • E. Lofsrud
    Lofsrud is a residential area and neighborhood within the Søndre Nordstrand borough of Oslo, Norway.
  • F. None of above.

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_69ca82aaaf24819084b94d18f699ba53 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3cf2918081909ee0afab11caed63 completed March 31, 2026, 3:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe121b0ac81908b9da58cf14c8df5 completed March 31, 2026, 2:58 p.m.
NEDg Description generation batch_69cbe441b76881909efa791b74316088 completed March 31, 2026, 3:12 p.m.
NED2 Entity disambiguation (via description) batch_69cc34749ae08190a1d30919a0594bfd completed March 31, 2026, 8:54 p.m.
Created at: March 30, 2026, 5:18 p.m.