Triple
T37339281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Col d’Izoard |
E926985
|
entity |
| Predicate | hasNotableCyclingHistory |
P144006
|
FINISHED |
| Object | associated with Fausto Coppi |
—
|
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: associated with Fausto Coppi | Statement: [Col d’Izoard, hasNotableCyclingHistory, associated with Fausto Coppi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableCyclingHistory Context triple: [Col d’Izoard, hasNotableCyclingHistory, associated with Fausto Coppi]
-
A.
hasCyclingHeritage
chosen
Indicates that an entity possesses a historical or cultural connection to cycling, such as traditions, achievements, or longstanding involvement in the sport.
-
B.
hasNotableRide
Indicates that an entity is associated with a particularly remarkable or well-known ride or attraction.
-
C.
hasTourDeFranceRecord
Indicates that an entity holds or has held a record related to the Tour de France, such as a performance, achievement, or statistical best.
-
D.
hasNotableAthleteTrained
Indicates that one entity (typically a coach, club, or institution) has trained a particular athlete who is considered notable or distinguished.
-
E.
isOlympicCyclist
Indicates that a person competes or has competed in cycling events at the Olympic Games.
- 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_69f76eb4e8a881908bd40da28f36fc7e |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a13a1308190a202df66f4781855 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:16 p.m.