Triple

T16385245
Position Surface form Disambiguated ID Type / Status
Subject Sandnes E397903 entity
Predicate hasSportsClub P346 FINISHED
Object Sandnes HK
Sandnes HK is a Norwegian handball club based in the city of Sandnes.
E1211444 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: Sandnes HK | Statement: [Sandnes, hasSportsClub, Sandnes HK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sandnes HK
Context triple: [Sandnes, hasSportsClub, Sandnes HK]
  • A. Sandnes Ulf
    Sandnes Ulf is a Norwegian football club from Sandnes, known for competing in the national league system and for its local rivalries in Rogaland.
  • B. Storhamar Idrettslag
    Storhamar Idrettslag is a Norwegian multi-sport club from Hamar best known for its successful ice hockey section, Storhamar Hockey.
  • C. Steinkjer FK
    Steinkjer FK is a Norwegian football club based in the town of Steinkjer, known for competing in the national league system and representing the local community in regional competitions.
  • D. Sandefjord Fotball
    Sandefjord Fotball is a Norwegian professional football club based in the town of Sandefjord, known for competing in the country’s top divisions.
  • E. Vålerenga
    Vålerenga is a neighborhood in Oslo, Norway, known for its working-class roots and strong association with the local football club Vålerenga Fotball.
  • 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: Sandnes HK
Triple: [Sandnes, hasSportsClub, Sandnes HK]
Generated description
Sandnes HK is a Norwegian handball club based in the city of Sandnes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sandnes HK
Target entity description: Sandnes HK is a Norwegian handball club based in the city of Sandnes.
  • A. Sandnes Ulf
    Sandnes Ulf is a Norwegian football club from Sandnes, known for competing in the national league system and for its local rivalries in Rogaland.
  • B. Storhamar Idrettslag
    Storhamar Idrettslag is a Norwegian multi-sport club from Hamar best known for its successful ice hockey section, Storhamar Hockey.
  • C. Steinkjer FK
    Steinkjer FK is a Norwegian football club based in the town of Steinkjer, known for competing in the national league system and representing the local community in regional competitions.
  • D. Sandefjord Fotball
    Sandefjord Fotball is a Norwegian professional football club based in the town of Sandefjord, known for competing in the country’s top divisions.
  • E. Vålerenga
    Vålerenga is a neighborhood in Oslo, Norway, known for its working-class roots and strong association with the local football club Vålerenga Fotball.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e3263c60088190b85a8c02bc3ef315 completed April 18, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c55bba481909bca6cc17e1dfcf5 completed May 10, 2026, 8:05 a.m.
NEDg Description generation batch_6a003e602e9c8190893a95c14b787abb completed May 10, 2026, 8:14 a.m.
NED2 Entity disambiguation (via description) batch_6a003ee98a5081909670b97efb269a71 completed May 10, 2026, 8:16 a.m.
Created at: April 10, 2026, 5:08 a.m.