Triple

T3661527
Position Surface form Disambiguated ID Type / Status
Subject Bodø E77659 entity
Predicate hasFootballStadium P5119 FINISHED
Object Aspmyra Stadion
Aspmyra Stadion is a football stadium in Bodø, Norway, best known as the home ground of FK Bodø/Glimt.
E378093 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: Aspmyra Stadion | Statement: [Bodø, hasFootballStadium, Aspmyra Stadion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aspmyra Stadion
Context triple: [Bodø, hasFootballStadium, Aspmyra Stadion]
  • A. 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.
  • 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. Viking Stadion
    Viking Stadion is a football stadium in Stavanger, Norway, primarily serving as the home ground of Viking FK.
  • D. Sarpsborg Stadion
    Sarpsborg Stadion is a football stadium in Sarpsborg, Norway, primarily used as the home ground of the club Sarpsborg 08 FF.
  • E. Aker Stadion
    Aker Stadion is a football stadium in Molde, Norway, best known as the home ground of the Norwegian club Molde FK.
  • 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: Aspmyra Stadion
Triple: [Bodø, hasFootballStadium, Aspmyra Stadion]
Generated description
Aspmyra Stadion is a football stadium in Bodø, Norway, best known as the home ground of FK Bodø/Glimt.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Aspmyra Stadion
Target entity description: Aspmyra Stadion is a football stadium in Bodø, Norway, best known as the home ground of FK Bodø/Glimt.
  • A. 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.
  • 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. Viking Stadion
    Viking Stadion is a football stadium in Stavanger, Norway, primarily serving as the home ground of Viking FK.
  • D. Sarpsborg Stadion
    Sarpsborg Stadion is a football stadium in Sarpsborg, Norway, primarily used as the home ground of the club Sarpsborg 08 FF.
  • E. Aker Stadion
    Aker Stadion is a football stadium in Molde, Norway, best known as the home ground of the Norwegian club Molde FK.
  • 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_69ad85dfc4dc8190a441864202ab2a7a completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3d826d88190b0b50e8592088a36 completed March 8, 2026, 6:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b48844a380819084c4627a95b4cb3c completed March 13, 2026, 9:57 p.m.
NEDg Description generation batch_69b48b1e425481908da667914d1a71e6 completed March 13, 2026, 10:09 p.m.
NED2 Entity disambiguation (via description) batch_69b4aefb58448190b7d34343a5dbb0f6 completed March 14, 2026, 12:42 a.m.
Created at: March 8, 2026, 3:25 p.m.