Triple

T13328445
Position Surface form Disambiguated ID Type / Status
Subject Norwegian Toppserien E317502 entity
Predicate mostSuccessfulClub P2706 FINISHED
Object Trondheims-Ørn
Trondheims-Ørn is a historically dominant Norwegian women's football club renowned for its record number of top-division league titles.
E1034033 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: Trondheims-Ørn | Statement: [Norwegian Toppserien, mostSuccessfulClub, Trondheims-Ørn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trondheims-Ørn
Context triple: [Norwegian Toppserien, mostSuccessfulClub, Trondheims-Ørn]
  • A. Kongsvinger
    Kongsvinger is a town and municipality in Innlandet county, Norway, known for its historic fortress overlooking the Glomma River and its role as a regional center near the Swedish border.
  • B. Flørli
    Flørli is a small, roadless village in Norway’s Lysefjord best known for its historic hydropower station and one of the world’s longest wooden stairways, with 4,444 steps climbing the mountainside.
  • C. Bjørndal
    Bjørndal is a residential neighborhood in the Søndre Nordstrand borough of Oslo, Norway.
  • D. Fløgstad
    Fløgstad is a Norwegian surname most notably borne by the writer Kjartan Fløgstad.
  • E. Fuglset
    Fuglset is a small island associated with the coastal town of Molde in western 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: Trondheims-Ørn
Triple: [Norwegian Toppserien, mostSuccessfulClub, Trondheims-Ørn]
Generated description
Trondheims-Ørn is a historically dominant Norwegian women's football club renowned for its record number of top-division league titles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Trondheims-Ørn
Target entity description: Trondheims-Ørn is a historically dominant Norwegian women's football club renowned for its record number of top-division league titles.
  • A. Kongsvinger
    Kongsvinger is a town and municipality in Innlandet county, Norway, known for its historic fortress overlooking the Glomma River and its role as a regional center near the Swedish border.
  • B. Flørli
    Flørli is a small, roadless village in Norway’s Lysefjord best known for its historic hydropower station and one of the world’s longest wooden stairways, with 4,444 steps climbing the mountainside.
  • C. Bjørndal
    Bjørndal is a residential neighborhood in the Søndre Nordstrand borough of Oslo, Norway.
  • D. Fløgstad
    Fløgstad is a Norwegian surname most notably borne by the writer Kjartan Fløgstad.
  • E. Fuglset
    Fuglset is a small island associated with the coastal town of Molde in western Norway.
  • 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_69d806b4d62c81908d4ced1665414be5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9992e4f908190a6f172bf910cffb8 completed April 11, 2026, 12:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f2f69a88190b11e61a922786fc4 completed May 3, 2026, 10:10 a.m.
NEDg Description generation batch_69f71fe3cda881909916f7aac0664ead completed May 3, 2026, 10:13 a.m.
NED2 Entity disambiguation (via description) batch_69f72090b6b081908870801fdb679f57 completed May 3, 2026, 10:16 a.m.
Created at: April 9, 2026, 9:30 p.m.