Triple
T15922644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UCI ProSeries |
E386129
|
entity |
| Predicate | raceCategoryCode |
P80790
|
FINISHED |
| Object | 1.Pro |
—
|
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: 1.Pro | Statement: [UCI ProSeries, raceCategoryCode, 1.Pro]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: raceCategoryCode Context triple: [UCI ProSeries, raceCategoryCode, 1.Pro]
-
A.
raceCategory
Indicates the classification of an entity into a specific race or racial group within a defined categorization system.
-
B.
associatedWithRaceCategory
Indicates a relationship in which an entity is linked or assigned to a particular race category.
-
C.
raceComponent
Indicates that one entity is a constituent part, segment, or stage within a larger race or racing event involving another entity.
-
D.
raceTypeBySex
Indicates that a race or competition is categorized or defined based on the sex of its participants.
-
E.
racingDivision
chosen
Indicates that one entity is classified into, or associated with, a particular racing division within a competitive racing context.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e172b48b308190bc430b2308cbc75b |
completed | April 16, 2026, 11:37 p.m. |
| PD | Predicate disambiguation | batch_69e142cf5c548190a931f7b58144cd31 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:52 a.m.