Triple

T2993397
Position Surface form Disambiguated ID Type / Status
Subject LSK Kvinner FK E81008 entity
Predicate league P888 FINISHED
Object Toppserien
Toppserien is the top professional women's football league in Norway, featuring the country's highest-level clubs.
 E317498 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: Toppserien | Statement: [LSK Kvinner FK, league, Toppserien]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Toppserien
Context triple: [LSK Kvinner FK, league, Toppserien]
  • A. Mo i Rana
    Mo i Rana is an industrial town in Nordland county, Norway, known for its steel industry, proximity to the Arctic Circle, and role as a regional hub in Northern Norway.
  • B. Tre Kronor
    Tre Kronor is the iconic nickname of Sweden’s national men’s ice hockey team, renowned as one of the world’s top international hockey powers.
  • C. Tunevannet
    Tunevannet is a lake and recreational area near Sarpsborg in Østfold, Norway, known for outdoor activities such as swimming, fishing, and hiking.
  • D. Ringen via Tøyen
    Ringen via Tøyen is a circular service pattern on the Oslo Metro that routes trains through Tøyen station before completing a loop.
  • E. Tore
    Tore is a Scandinavian masculine given name commonly used in Norway and other Nordic countries.
  • 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: Toppserien
Triple: [LSK Kvinner FK, league, Toppserien]
Generated description
Toppserien is the top professional women's football league in Norway, featuring the country's highest-level clubs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Toppserien
Target entity description: Toppserien is the top professional women's football league in Norway, featuring the country's highest-level clubs.
  • A. Mo i Rana
    Mo i Rana is an industrial town in Nordland county, Norway, known for its steel industry, proximity to the Arctic Circle, and role as a regional hub in Northern Norway.
  • B. Tre Kronor
    Tre Kronor is the iconic nickname of Sweden’s national men’s ice hockey team, renowned as one of the world’s top international hockey powers.
  • C. Tunevannet
    Tunevannet is a lake and recreational area near Sarpsborg in Østfold, Norway, known for outdoor activities such as swimming, fishing, and hiking.
  • D. Ringen via Tøyen
    Ringen via Tøyen is a circular service pattern on the Oslo Metro that routes trains through Tøyen station before completing a loop.
  • E. Tore
    Tore is a Scandinavian masculine given name commonly used in Norway and other Nordic countries.
  • 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_69ad8b187fc8819085914d3c9ea3142d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99e12c5c8190af7cc20e4c48bf45 completed March 8, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b109061684819086777d3b871c94f8 completed March 11, 2026, 6:17 a.m.
NEDg Description generation batch_69b1196399e881908887513a3bdf7f98 completed March 11, 2026, 7:27 a.m.
NED2 Entity disambiguation (via description) batch_69b119d306208190b53b059f0ff57712 completed March 11, 2026, 7:29 a.m.
Created at: March 8, 2026, 2:59 p.m.