Triple

T6331663
Position Surface form Disambiguated ID Type / Status
Subject Nordre Aker E142393 entity
Predicate hasSportsFacility P105 FINISHED
Object Grefsen stadion
Grefsen stadion is a football stadium in Oslo, Norway, primarily used as the home ground of Kjelsås Fotball.
E585755 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: Grefsen stadion | Statement: [Nordre Aker, hasSportsFacility, Grefsen stadion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grefsen stadion
Context triple: [Nordre Aker, hasSportsFacility, Grefsen stadion]
  • A. Gjemselund Stadion
    Gjemselund Stadion is a football stadium in Kongsvinger, Norway, primarily known as the home venue of the local professional club.
  • B. Alfheim Stadion
    Alfheim Stadion is a football stadium in Tromsø, Norway, best known as the home ground of the Norwegian club Tromsø IL.
  • C. Aspmyra Stadion
    Aspmyra Stadion is a football stadium in Bodø, Norway, best known as the home ground of FK Bodø/Glimt.
  • D. Åråsen Stadion
    Åråsen Stadion is a football stadium in Lillestrøm, Norway, best known as the main home ground of Lillestrøm SK and a prominent venue in Norwegian football.
  • E. Nadderud Stadion
    Nadderud Stadion is a football stadium in Bærum, Norway, best known as the long-time home ground of Norwegian club Stabæk 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: Grefsen stadion
Triple: [Nordre Aker, hasSportsFacility, Grefsen stadion]
Generated description
Grefsen stadion is a football stadium in Oslo, Norway, primarily used as the home ground of Kjelsås Fotball.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Grefsen stadion
Target entity description: Grefsen stadion is a football stadium in Oslo, Norway, primarily used as the home ground of Kjelsås Fotball.
  • A. Gjemselund Stadion
    Gjemselund Stadion is a football stadium in Kongsvinger, Norway, primarily known as the home venue of the local professional club.
  • B. Alfheim Stadion
    Alfheim Stadion is a football stadium in Tromsø, Norway, best known as the home ground of the Norwegian club Tromsø IL.
  • C. Aspmyra Stadion
    Aspmyra Stadion is a football stadium in Bodø, Norway, best known as the home ground of FK Bodø/Glimt.
  • D. Åråsen Stadion
    Åråsen Stadion is a football stadium in Lillestrøm, Norway, best known as the main home ground of Lillestrøm SK and a prominent venue in Norwegian football.
  • E. Nadderud Stadion
    Nadderud Stadion is a football stadium in Bærum, Norway, best known as the long-time home ground of Norwegian club Stabæk 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_69c008d4d8e88190ad301c05b08722ac completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0651634b08190b54860ba0a70f5c4 completed March 22, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6041f713c8190b27ba54181049377 completed March 27, 2026, 4:14 a.m.
NEDg Description generation batch_69c604d3839081909f98c37f0fe8f0af completed March 27, 2026, 4:17 a.m.
NED2 Entity disambiguation (via description) batch_69c6054d2e388190a4bafffce879b039 completed March 27, 2026, 4:19 a.m.
Created at: March 22, 2026, 4:30 p.m.