Triple
T11768743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rainer Scholz |
E279842
|
entity |
| Predicate | memberOfSportsTeam |
P330
|
FINISHED |
| Object |
SV Lurup
SV Lurup is a German football club based in the Lurup district of Hamburg, known for competing in the lower tiers of the German league system.
|
E945623
|
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: SV Lurup | Statement: [Rainer Scholz, memberOfSportsTeam, SV Lurup]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SV Lurup Context triple: [Rainer Scholz, memberOfSportsTeam, SV Lurup]
-
A.
TuS Herten
TuS Herten is a German basketball club where future NBA coach Erik Spoelstra played professionally early in his career.
-
B.
Hammersborg
Hammersborg is a central neighborhood in Oslo, Norway, known for housing key government buildings and cultural institutions.
-
C.
Haderslev FK
Haderslev FK is a Danish football club based in the town of Haderslev.
-
D.
Vejle Boldklub
Vejle Boldklub is a Danish professional football club known for its historic success in the national league and cup competitions.
-
E.
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.
- 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: SV Lurup Triple: [Rainer Scholz, memberOfSportsTeam, SV Lurup]
Generated description
SV Lurup is a German football club based in the Lurup district of Hamburg, known for competing in the lower tiers of the German league system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SV Lurup Target entity description: SV Lurup is a German football club based in the Lurup district of Hamburg, known for competing in the lower tiers of the German league system.
-
A.
TuS Herten
TuS Herten is a German basketball club where future NBA coach Erik Spoelstra played professionally early in his career.
-
B.
Hammersborg
Hammersborg is a central neighborhood in Oslo, Norway, known for housing key government buildings and cultural institutions.
-
C.
Haderslev FK
Haderslev FK is a Danish football club based in the town of Haderslev.
-
D.
Vejle Boldklub
Vejle Boldklub is a Danish professional football club known for its historic success in the national league and cup competitions.
-
E.
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.
- 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_69d6ab01d2688190ad8ed6bda487eaa5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a526979c8190ad2089997906855b |
completed | April 10, 2026, 7:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f09075aba8819082434a43473025bd |
completed | April 28, 2026, 10:48 a.m. |
| NEDg | Description generation | batch_69f0bd3cf8308190813003daa8cfba4a |
completed | April 28, 2026, 1:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f0ef02c930819086d139834ad4ed84 |
completed | April 28, 2026, 5:31 p.m. |
Created at: April 8, 2026, 9:41 p.m.