Triple
T15151835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Felice Gimondi |
E361962
|
entity |
| Predicate | won |
P1518
|
FINISHED |
| Object | Tour de France |
E2389
|
NE 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 | Statement: [Felice Gimondi, won, Tour de France]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tour de France Context triple: [Felice Gimondi, won, Tour de France]
-
A.
Tour de France
chosen
The Tour de France is the world’s most prestigious multi-stage cycling race, held annually and primarily contested on roads across France.
-
B.
Le Tour
Le Tour is a small alpine village in the Chamonix-Mont-Blanc area of the French Alps, known as a base for skiing, hiking, and access to nearby glaciers.
-
C.
Giro d'Italia
The Giro d'Italia is one of cycling's three Grand Tours, a prestigious multi-week stage race held annually across Italy and renowned for its challenging mountain routes and iconic pink leader's jersey.
-
D.
Vuelta a España
The Vuelta a España is one of cycling’s three Grand Tours, a prestigious multi-week stage race held annually across Spain.
-
E.
Tour de la Chaîne
Tour de la Chaîne is a historic medieval defensive tower guarding the entrance to the old harbor of La Rochelle on France’s Atlantic coast.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85a0759908190b8a051d2e2a1cbe6 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00609040081908c849475a2fa6443 |
completed | April 15, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed32637748190b566602b5b37fbd3 |
completed | May 9, 2026, 6:24 a.m. |
Created at: April 10, 2026, 3:07 a.m.