Triple
T15395062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alberto Contador |
E368156
|
entity |
| Predicate | wonVueltaAEspanaYear |
P17170
|
FINISHED |
| Object | 2008 |
—
|
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: 2008 | Statement: [Alberto Contador, wonVueltaAEspanaYear, 2008]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonVueltaAEspanaYear Context triple: [Alberto Contador, wonVueltaAEspanaYear, 2008]
-
A.
VueltaAEspanaOverallWinsYears
chosen
Indicates the specific years in which an entity won the overall classification of the Vuelta a España.
-
B.
numberOfVueltaAEspanaOverallVictories
Indicates the total count of times an entity has won the Vuelta a España general (overall) classification.
-
C.
VueltaAEspanaBestResult
Indicates the best performance or highest placement an entity has achieved in the Vuelta a España cycling race.
-
D.
TourDeFranceWins
Indicates the number of times an entity has won the Tour de France cycling race.
-
E.
yearOfWin
Indicates the specific calendar year in which an entity achieved a particular victory or win.
- 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_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. |
Created at: April 10, 2026, 3:19 a.m.