Triple
T13866863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French National Time Trial Championships |
E333346
|
entity |
| Predicate | helmetRequirement |
P96343
|
FINISHED |
| Object | aerodynamic time trial helmet allowed |
—
|
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: aerodynamic time trial helmet allowed | Statement: [French National Time Trial Championships, helmetRequirement, aerodynamic time trial helmet allowed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helmetRequirement Context triple: [French National Time Trial Championships, helmetRequirement, aerodynamic time trial helmet allowed]
-
A.
helmetPolicy
chosen
Indicates that there is a rule or requirement governing whether and how helmets must be worn in a given context.
-
B.
helmetNumber
Indicates the identifying number assigned to a person or object as displayed on their helmet.
-
C.
helmetType
Indicates the specific category or style of helmet associated with an entity.
-
D.
safetyRequirement
Indicates that one entity specifies or imposes conditions, standards, or measures necessary to ensure the safety of another entity or activity.
-
E.
woreHelmetOf
Indicates that one entity used or was equipped with the helmet that belongs to or is associated with another entity.
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de23a101488190bd790b28033d38b9 |
completed | April 14, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69de05972f3881909977b4c843984f88 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:14 p.m.