Triple

T15410529
Position Surface form Disambiguated ID Type / Status
Subject Seinäjoki E368576 entity
Predicate hasSportsVenue P587 FINISHED
Object OmaSP Stadion
OmaSP Stadion is a modern football stadium in Seinäjoki, Finland, serving as the home ground of local professional club SJK Seinäjoki.
E1156058 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: OmaSP Stadion | Statement: [Seinäjoki, hasSportsVenue, OmaSP Stadion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OmaSP Stadion
Context triple: [Seinäjoki, hasSportsVenue, OmaSP Stadion]
  • A. AOK Stadion
    AOK Stadion is a football stadium in Wolfsburg, Germany, primarily used by VfL Wolfsburg’s women’s and youth teams and located close to the club’s main Volkswagen Arena.
  • 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. Bosuilstadion
    Bosuilstadion is a historic football stadium in Antwerp, Belgium, best known as the long-time home ground of Royal Antwerp F.C.
  • D. Aspmyra Stadion
    Aspmyra Stadion is a football stadium in Bodø, Norway, best known as the home ground of FK Bodø/Glimt.
  • E. Soevereinstadion
    Soevereinstadion is a football stadium in Lommel, Belgium, primarily used for hosting the home matches of Lommel SK.
  • 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: OmaSP Stadion
Triple: [Seinäjoki, hasSportsVenue, OmaSP Stadion]
Generated description
OmaSP Stadion is a modern football stadium in Seinäjoki, Finland, serving as the home ground of local professional club SJK Seinäjoki.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: OmaSP Stadion
Target entity description: OmaSP Stadion is a modern football stadium in Seinäjoki, Finland, serving as the home ground of local professional club SJK Seinäjoki.
  • A. AOK Stadion
    AOK Stadion is a football stadium in Wolfsburg, Germany, primarily used by VfL Wolfsburg’s women’s and youth teams and located close to the club’s main Volkswagen Arena.
  • 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. Bosuilstadion
    Bosuilstadion is a historic football stadium in Antwerp, Belgium, best known as the long-time home ground of Royal Antwerp F.C.
  • D. Aspmyra Stadion
    Aspmyra Stadion is a football stadium in Bodø, Norway, best known as the home ground of FK Bodø/Glimt.
  • E. Soevereinstadion
    Soevereinstadion is a football stadium in Lommel, Belgium, primarily used for hosting the home matches of Lommel SK.
  • 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ea4f13c819085d26fd32b5dca6f completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a7356548190af5651ab0bc03ab9 completed May 9, 2026, 11:28 a.m.
NEDg Description generation batch_69ff1afa99888190bfb60fd88d840d4e completed May 9, 2026, 11:31 a.m.
NED2 Entity disambiguation (via description) batch_69ff1bdb39b481908f0b1df595837bc4 completed May 9, 2026, 11:34 a.m.
Created at: April 10, 2026, 3:20 a.m.