Triple

T2321225
Position Surface form Disambiguated ID Type / Status
Subject Herning E51183 entity
Predicate hasVenue P373 FINISHED
Object MCH Arena
MCH Arena is a modern football stadium in Herning, Denmark, best known as the home ground of FC Midtjylland and for hosting major sporting and entertainment events.
E256169 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: MCH Arena | Statement: [Herning, hasVenue, MCH Arena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MCH Arena
Context triple: [Herning, hasVenue, MCH Arena]
  • A. Artland Arena
    Artland Arena is a multi-purpose indoor sports and events venue located in Quakenbrück, Germany.
  • B. Intility Arena
    Intility Arena is a modern football stadium in Oslo, Norway, primarily known as the home ground of Vålerenga Fotball.
  • C. MVP Arena
    MVP Arena is a multi-purpose indoor sports and entertainment venue located in Albany, New York.
  • D. Bender Arena
    Bender Arena is a multi-purpose indoor sports and events venue located on the campus of American University in Washington, D.C.
  • E. Angel of the Winds Arena
    Angel of the Winds Arena is a multi-purpose indoor sports and entertainment venue located in Everett, Washington.
  • 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: MCH Arena
Triple: [Herning, hasVenue, MCH Arena]
Generated description
MCH Arena is a modern football stadium in Herning, Denmark, best known as the home ground of FC Midtjylland and for hosting major sporting and entertainment events.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MCH Arena
Target entity description: MCH Arena is a modern football stadium in Herning, Denmark, best known as the home ground of FC Midtjylland and for hosting major sporting and entertainment events.
  • A. Artland Arena
    Artland Arena is a multi-purpose indoor sports and events venue located in Quakenbrück, Germany.
  • B. Intility Arena
    Intility Arena is a modern football stadium in Oslo, Norway, primarily known as the home ground of Vålerenga Fotball.
  • C. MVP Arena
    MVP Arena is a multi-purpose indoor sports and entertainment venue located in Albany, New York.
  • D. Bender Arena
    Bender Arena is a multi-purpose indoor sports and events venue located on the campus of American University in Washington, D.C.
  • E. Angel of the Winds Arena
    Angel of the Winds Arena is a multi-purpose indoor sports and entertainment venue located in Everett, Washington.
  • 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_69a88b074b908190ae983dbca7757d88 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc6337e948190bb4860f7045914e1 completed March 7, 2026, 6:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae896911908190b53954dbf854cc18 completed March 9, 2026, 8:48 a.m.
NEDg Description generation batch_69ae8d2dcc8081908d4274b2287ff2b8 completed March 9, 2026, 9:04 a.m.
NED2 Entity disambiguation (via description) batch_69ae8d786a648190acf0a14e0d4a120c completed March 9, 2026, 9:06 a.m.
Created at: March 4, 2026, 7:49 p.m.