Triple
T16745145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fiorenzo Magni |
E406932
|
entity |
| Predicate | GiroDItaliaOverallVictories |
P15811
|
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, GiroDItaliaOverallVictories, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: GiroDItaliaOverallVictories Context triple: [Fiorenzo Magni, GiroDItaliaOverallVictories, 3]
-
A.
GiroDItaliaOverallWinsYears
Indicates the specific years in which an entity achieved overall (general classification) victories in the Giro d'Italia.
-
B.
GiroDItaliaWins
chosen
Indicates the number of times an entity has won the Giro d'Italia cycling race.
-
C.
numberOfVueltaAEspanaOverallVictories
Indicates the total count of times an entity has won the Vuelta a España general (overall) classification.
-
D.
numberOfGrandTourOverallVictories
Indicates the total count of times an entity has won the overall classification in any of cycling’s Grand Tours (Tour de France, Giro d’Italia, or Vuelta a España).
-
E.
TourDeFranceOverallWins
Indicates the number of times an entity has won the overall general classification of the Tour de France.
- 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.