Triple

T10852192
Position Surface form Disambiguated ID Type / Status
Subject FC Midtjylland E256172 entity
Predicate originatedFromMergerOf P6637 FINISHED
Object Herning Fremad
Herning Fremad was a Danish football club from Herning that later became part of the foundation for the professional club FC Midtjylland.
E891688 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: Herning Fremad | Statement: [FC Midtjylland, originatedFromMergerOf, Herning Fremad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Herning Fremad
Context triple: [FC Midtjylland, originatedFromMergerOf, Herning Fremad]
  • A. Hammersborg
    Hammersborg is a central neighborhood in Oslo, Norway, known for housing key government buildings and cultural institutions.
  • B. Herning IK
    Herning IK is the former name of Herning Blue Fox, a professional ice hockey club based in Herning, Denmark.
  • C. Randers FC
    Randers FC is a professional Danish football club based in the city of Randers that competes in the Danish Superliga.
  • D. Vejle Boldklub
    Vejle Boldklub is a Danish professional football club known for its historic success in the national league and cup competitions.
  • E. Haderslev FK
    Haderslev FK is a Danish football club based in the town of Haderslev.
  • 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: Herning Fremad
Triple: [FC Midtjylland, originatedFromMergerOf, Herning Fremad]
Generated description
Herning Fremad was a Danish football club from Herning that later became part of the foundation for the professional club FC Midtjylland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Herning Fremad
Target entity description: Herning Fremad was a Danish football club from Herning that later became part of the foundation for the professional club FC Midtjylland.
  • A. Hammersborg
    Hammersborg is a central neighborhood in Oslo, Norway, known for housing key government buildings and cultural institutions.
  • B. Herning IK
    Herning IK is the former name of Herning Blue Fox, a professional ice hockey club based in Herning, Denmark.
  • C. Randers FC
    Randers FC is a professional Danish football club based in the city of Randers that competes in the Danish Superliga.
  • D. Vejle Boldklub
    Vejle Boldklub is a Danish professional football club known for its historic success in the national league and cup competitions.
  • E. Haderslev FK
    Haderslev FK is a Danish football club based in the town of Haderslev.
  • 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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75117b76c8190b0fb216b1428c3c7 completed April 9, 2026, 7:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69e154b2eb08819080a9905dbf378111 completed April 16, 2026, 9:29 p.m.
NEDg Description generation batch_69e174d962ec8190a0ef8442e3414a8d completed April 16, 2026, 11:46 p.m.
NED2 Entity disambiguation (via description) batch_69e1777c0a308190bb5dc5e64cb51af3 completed April 16, 2026, 11:57 p.m.
Created at: April 8, 2026, 9:20 p.m.