Triple
T7786272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enköping |
E187251
|
entity |
| Predicate | hasSportsClub |
P346
|
FINISHED |
| Object |
Enköpings SK FK
Enköpings SK FK is a Swedish football club based in Enköping that competes in the national league system.
|
E692775
|
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: Enköpings SK FK | Statement: [Enköping, hasSportsClub, Enköpings SK FK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Enköpings SK FK Context triple: [Enköping, hasSportsClub, Enköpings SK FK]
-
A.
Linköpings FC
Linköpings FC is a Swedish professional women's football club based in Linköping that competes in the top tier Damallsvenskan league.
-
B.
Södertälje FK
Södertälje FK is a Swedish football club based in Södertälje, known locally for its competitive presence and rivalry with neighboring club Syrianska FC.
-
C.
Strängnäs FC
Strängnäs FC is a Swedish football club based in the town of Strängnäs.
-
D.
Södertälje SK
Södertälje SK is a Swedish professional ice hockey club based in Södertälje, known for its long history and multiple national championships.
-
E.
Östersunds FK
Östersunds FK is a Swedish professional football club known for its rapid rise through the leagues and notable performances in domestic and European competitions.
- 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: Enköpings SK FK Triple: [Enköping, hasSportsClub, Enköpings SK FK]
Generated description
Enköpings SK FK is a Swedish football club based in Enköping that competes in the national league system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Enköpings SK FK Target entity description: Enköpings SK FK is a Swedish football club based in Enköping that competes in the national league system.
-
A.
Linköpings FC
Linköpings FC is a Swedish professional women's football club based in Linköping that competes in the top tier Damallsvenskan league.
-
B.
Södertälje FK
Södertälje FK is a Swedish football club based in Södertälje, known locally for its competitive presence and rivalry with neighboring club Syrianska FC.
-
C.
Strängnäs FC
Strängnäs FC is a Swedish football club based in the town of Strängnäs.
-
D.
Södertälje SK
Södertälje SK is a Swedish professional ice hockey club based in Södertälje, known for its long history and multiple national championships.
-
E.
Östersunds FK
Östersunds FK is a Swedish professional football club known for its rapid rise through the leagues and notable performances in domestic and European competitions.
- 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_69ca82af2d2c8190963861f5e0b8bf21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cadf2462248190863f838f0e077923 |
completed | March 30, 2026, 8:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69caf6123ad48190a50339073e91748c |
completed | March 30, 2026, 10:15 p.m. |
| NEDg | Description generation | batch_69caf81ff934819094f8089b0bd8dde7 |
completed | March 30, 2026, 10:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cafa512e748190a52fe462d3d59f06 |
completed | March 30, 2026, 10:33 p.m. |
Created at: March 30, 2026, 4:23 p.m.