Triple
T11326093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roskilde |
E268221
|
entity |
| Predicate | hasSportsClub |
P346
|
FINISHED |
| Object |
FC Roskilde
FC Roskilde is a Danish football club based in the city of Roskilde that competes in the national league system.
|
E919277
|
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: FC Roskilde | Statement: [Roskilde, hasSportsClub, FC Roskilde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FC Roskilde Context triple: [Roskilde, hasSportsClub, FC Roskilde]
-
A.
Randers FC
Randers FC is a professional Danish football club based in the city of Randers that competes in the Danish Superliga.
-
B.
FC Midtjylland
FC Midtjylland is a Danish professional football club known for its data-driven approach to player recruitment and performance, competing in the top tier of Danish football.
-
C.
Hammersborg
Hammersborg is a central neighborhood in Oslo, Norway, known for housing key government buildings and cultural institutions.
-
D.
Brøndby
Brøndby is a suburban municipality in the western part of the Copenhagen metropolitan area in Denmark, known for its residential districts and the football club Brøndby IF.
-
E.
Odense Boldklub
Odense Boldklub is a Danish professional football club based in the city of Odense, known for competing in the top tiers of Danish football.
- 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: FC Roskilde Triple: [Roskilde, hasSportsClub, FC Roskilde]
Generated description
FC Roskilde is a Danish football club based in the city of Roskilde that competes in the national league system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FC Roskilde Target entity description: FC Roskilde is a Danish football club based in the city of Roskilde that competes in the national league system.
-
A.
Randers FC
Randers FC is a professional Danish football club based in the city of Randers that competes in the Danish Superliga.
-
B.
FC Midtjylland
FC Midtjylland is a Danish professional football club known for its data-driven approach to player recruitment and performance, competing in the top tier of Danish football.
-
C.
Hammersborg
Hammersborg is a central neighborhood in Oslo, Norway, known for housing key government buildings and cultural institutions.
-
D.
Brøndby
Brøndby is a suburban municipality in the western part of the Copenhagen metropolitan area in Denmark, known for its residential districts and the football club Brøndby IF.
-
E.
Odense Boldklub
Odense Boldklub is a Danish professional football club based in the city of Odense, known for competing in the top tiers of Danish football.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9e2253881909518cad0f12ef612 |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e525fb8d74819089d1505d1f0f116c |
completed | April 19, 2026, 6:59 p.m. |
| NEDg | Description generation | batch_69e52c82b6108190aec9b6e9d726f803 |
completed | April 19, 2026, 7:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e531c2a4b88190bb1efd57536bae9a |
completed | April 19, 2026, 7:49 p.m. |
Created at: April 8, 2026, 9:32 p.m.