Triple
T17134486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Passo del Mortirolo |
E415799
|
entity |
| Predicate | cyclingUse |
P126234
|
FINISHED |
| Object | professional races |
—
|
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: professional races | Statement: [Passo del Mortirolo, cyclingUse, professional races]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cyclingUse Context triple: [Passo del Mortirolo, cyclingUse, professional races]
-
A.
bicycleUse
Indicates that an entity makes use of a bicycle for transportation, activity, or other purposes.
-
B.
cyclingCategory
Indicates the classification or type of cycling activity or discipline associated with an entity.
-
C.
cyclingReputation
Indicates a reputation or standing that an entity has earned specifically through its cycling-related activities or behavior.
-
D.
bicycleType
Indicates the specific kind or category of bicycle associated with an entity.
-
E.
bikeCategory
Indicates the classification or type of a bicycle that an entity is associated with.
- F. None of above. chosen
Provenance (4 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f02cbb7881908aa69c3443d149d5 |
completed | April 18, 2026, 8:57 p.m. |
| PD | Predicate disambiguation | batch_69e3830192ac819091344a9e5a36c8c9 |
completed | April 18, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69e3873f62108190966c4e741ebd548d |
completed | April 18, 2026, 1:29 p.m. |
Created at: April 10, 2026, 5:36 a.m.