Triple

T4043974
Position Surface form Disambiguated ID Type / Status
Subject Gjøvik E84018 entity
Predicate hasSportsFacility P105 FINISHED
Object Gjøvik Stadium
Gjøvik Stadium is a sports arena in Gjøvik, Norway, primarily used for football and athletics events.
 E408629 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: Gjøvik Stadium | Statement: [Gjøvik, hasSportsFacility, Gjøvik Stadium]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gjøvik Stadium
Context triple: [Gjøvik, hasSportsFacility, Gjøvik Stadium]
  • A. Sarpsborg Stadion
    Sarpsborg Stadion is a football stadium in Sarpsborg, Norway, primarily used as the home ground of the club Sarpsborg 08 FF.
  • B. Aker Stadion
    Aker Stadion is a football stadium in Molde, Norway, best known as the home ground of the Norwegian club Molde FK.
  • C. 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.
  • D. Viking Stadion
    Viking Stadion is a football stadium in Stavanger, Norway, primarily serving as the home ground of Viking FK.
  • E. Aspmyra Stadion
    Aspmyra Stadion is a football stadium in Bodø, Norway, best known as the home ground of FK Bodø/Glimt.
  • 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: Gjøvik Stadium
Triple: [Gjøvik, hasSportsFacility, Gjøvik Stadium]
Generated description
Gjøvik Stadium is a sports arena in Gjøvik, Norway, primarily used for football and athletics events.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gjøvik Stadium
Target entity description: Gjøvik Stadium is a sports arena in Gjøvik, Norway, primarily used for football and athletics events.
  • A. Sarpsborg Stadion
    Sarpsborg Stadion is a football stadium in Sarpsborg, Norway, primarily used as the home ground of the club Sarpsborg 08 FF.
  • B. Aker Stadion
    Aker Stadion is a football stadium in Molde, Norway, best known as the home ground of the Norwegian club Molde FK.
  • C. 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.
  • D. Viking Stadion
    Viking Stadion is a football stadium in Stavanger, Norway, primarily serving as the home ground of Viking FK.
  • E. Aspmyra Stadion
    Aspmyra Stadion is a football stadium in Bodø, Norway, best known as the home ground of FK Bodø/Glimt.
  • 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_69aed930bd5c819083e7dcc14fc44f69 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb5d759c8190b61fbbe94ffe2bf7 completed March 9, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5564fb54c81909f40ca1d6f1e521e completed March 14, 2026, 12:36 p.m.
NEDg Description generation batch_69b5579085608190937528de7e0f987e completed March 14, 2026, 12:41 p.m.
NED2 Entity disambiguation (via description) batch_69b55828506081908181436282907b08 completed March 14, 2026, 12:44 p.m.
Created at: March 9, 2026, 3:37 p.m.