Triple
T17375927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dino Toppmöller |
E422437
|
entity |
| Predicate | hasManagedClub |
P72703
|
FINISHED |
| Object | F91 Dudelange |
—
|
NE NERFINISHED |
How this triple was built (2 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: F91 Dudelange | Statement: [Dino Toppmöller, hasManagedClub, F91 Dudelange]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: F91 Dudelange Context triple: [Dino Toppmöller, hasManagedClub, F91 Dudelange]
-
A.
F91 Dudelange
chosen
F91 Dudelange is a prominent Luxembourgish football club known for its domestic success and regular participation in European competitions.
-
B.
Dudelange
Dudelange is a town in southern Luxembourg known as one of the country’s larger industrial and residential centers near the French border.
-
C.
CFL Dudelange-Usines
CFL Dudelange-Usines is a railway station in Dudelange, Luxembourg, served by the national railway company Chemins de Fer Luxembourgeois.
-
D.
K.A.S. Eupen
K.A.S. Eupen is a professional Belgian football club based in the city of Eupen that competes in the country’s top leagues.
-
E.
Schaan
Schaan is a major municipality in Liechtenstein known as its principal urban and industrial center.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a6c864481908507290282cc6d25 |
completed | April 19, 2026, 2:14 a.m. |
Created at: April 10, 2026, 5:45 a.m.