Triple
T15395216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Primož Roglič |
E368159
|
entity |
| Predicate | grandTourStageWin |
P118624
|
FINISHED |
| Object | Tour de France stage winner |
—
|
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: Tour de France stage winner | Statement: [Primož Roglič, grandTourStageWin, Tour de France stage winner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grandTourStageWin Context triple: [Primož Roglič, grandTourStageWin, Tour de France stage winner]
-
A.
TourDeFranceWin
Indicates that an entity has won the Tour de France cycling race, typically as the overall general classification winner for a given edition.
-
B.
TourDeFranceWins
Indicates the number of times an entity has won the Tour de France cycling race.
-
C.
grandTourPodium
Indicates that an entity achieved a top-three overall finish in a Grand Tour cycling race.
-
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.
hasWonStageRaces
Indicates that an entity has achieved overall victories in one or more multi-stage races or competitions.
- F. None of above. chosen
Provenance (4 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e8ac79081908ac79c0b3e7587ff |
completed | April 16, 2026, 1:42 a.m. |
| PD | Predicate disambiguation | batch_69ded27b8cac8190bfa77698d53c5d1c |
completed | April 14, 2026, 11:49 p.m. |
| PDg | Predicate description generation | batch_69ded57005608190886cd01f640dfedb |
completed | April 15, 2026, 12:01 a.m. |
Created at: April 10, 2026, 3:19 a.m.