Triple
T15490313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roger De Vlaeminck |
E378664
|
entity |
| Predicate | hasWonAllFiveMonuments |
P54311
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Roger De Vlaeminck, hasWonAllFiveMonuments, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWonAllFiveMonuments Context triple: [Roger De Vlaeminck, hasWonAllFiveMonuments, true]
-
A.
wonMonumentClassic
chosen
Indicates that an entity achieved victory in a cycling Monument classic race.
-
B.
hasFounderAchievement
Indicates that an entity has received or holds a notable achievement, recognition, or award specifically in its role as a founder.
-
C.
hasNumberOfMonuments
Indicates the specific count of monuments associated with or present in a given entity.
-
D.
hasWonAllGrandTours
Indicates that the subject has won all three cycling Grand Tours (Tour de France, Giro d'Italia, and Vuelta a España) at least once.
-
E.
hasConquered
Indicates that one entity has taken control over another entity or its territory through force or domination.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fac2af88190ac1d119e6b21dbe0 |
completed | April 16, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69ded2874b788190999158e0f043be21 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:48 a.m.