Triple
T16745146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fiorenzo Magni |
E406932
|
entity |
| Predicate | TourOfFlandersVictories |
P54316
|
FINISHED |
| Object | 3 |
—
|
LITERAL FINISHED |
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: 3 | Statement: [Fiorenzo Magni, TourOfFlandersVictories, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: TourOfFlandersVictories Context triple: [Fiorenzo Magni, TourOfFlandersVictories, 3]
-
A.
numberOfTourOfFlandersWins
chosen
Indicates the number of times an entity has won the Tour of Flanders cycling race.
-
B.
TourDeFranceWins
Indicates the number of times an entity has won the Tour de France cycling race.
-
C.
numberOfParisRoubaixWins
Indicates the count of times an entity has won the Paris–Roubaix cycling race.
-
D.
UciRoadWorldChampionshipsRoadRaceWinYear
Indicates the year in which an entity won the UCI Road World Championships road race.
-
E.
TourDeFranceWin
Indicates that an entity has won the Tour de France cycling race, typically as the overall general classification winner for a given edition.
- F. None of above.
Provenance (3 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_69d8838ffb088190a0b11149929006bf |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3aa223aa88190a3c1805ece7317e2 |
completed | April 18, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_69e319c807788190901250ab6e0ca55f |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:21 a.m.