Triple
T10852191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FC Midtjylland |
E256172
|
entity |
| Predicate | originatedFromMergerOf |
P6637
|
FINISHED |
| Object |
Ikast FS
Ikast FS was a Danish football club that later became part of the foundation for the modern club FC Midtjylland.
|
E888857
|
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: Ikast FS | Statement: [FC Midtjylland, originatedFromMergerOf, Ikast FS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ikast FS Context triple: [FC Midtjylland, originatedFromMergerOf, Ikast FS]
-
A.
IFK Eskilstuna
IFK Eskilstuna is a Swedish football club based in Eskilstuna, known for its long history and participation in the national league system.
-
B.
Stattena IF
Stattena IF is a Swedish football club known for its role in developing players such as renowned coach and former international striker Pia Sundhage.
-
C.
Vittsjö GIK
Vittsjö GIK is a Swedish football club best known for its women’s team competing in the top tiers of Swedish women’s football.
-
D.
Timrå IK
Timrå IK is a professional ice hockey club from Timrå, Sweden, best known for competing in the country’s top leagues and developing numerous elite players.
-
E.
Knivsta IK
Knivsta IK is a Swedish multi-sport club based in Knivsta, known primarily for its local football and youth sports activities.
- 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: Ikast FS Triple: [FC Midtjylland, originatedFromMergerOf, Ikast FS]
Generated description
Ikast FS was a Danish football club that later became part of the foundation for the modern club FC Midtjylland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ikast FS Target entity description: Ikast FS was a Danish football club that later became part of the foundation for the modern club FC Midtjylland.
-
A.
IFK Eskilstuna
IFK Eskilstuna is a Swedish football club based in Eskilstuna, known for its long history and participation in the national league system.
-
B.
Stattena IF
Stattena IF is a Swedish football club known for its role in developing players such as renowned coach and former international striker Pia Sundhage.
-
C.
Vittsjö GIK
Vittsjö GIK is a Swedish football club best known for its women’s team competing in the top tiers of Swedish women’s football.
-
D.
Timrå IK
Timrå IK is a professional ice hockey club from Timrå, Sweden, best known for competing in the country’s top leagues and developing numerous elite players.
-
E.
Knivsta IK
Knivsta IK is a Swedish multi-sport club based in Knivsta, known primarily for its local football and youth sports activities.
- 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_69deb17d978c8190883b4a56e88859de |
completed | April 14, 2026, 9:28 p.m. |
| NEDg | Description generation | batch_69deb515ab608190981689bcad4b7530 |
completed | April 14, 2026, 9:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69deb602fa908190bffdd291932da3f1 |
completed | April 14, 2026, 9:47 p.m. |
Created at: April 8, 2026, 9:20 p.m.