Triple
T14145791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | spring classics |
E350544
|
entity |
| Predicate | categoryWithinCycling |
P71554
|
FINISHED |
| Object | Classics |
—
|
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: Classics | Statement: [spring classics, categoryWithinCycling, Classics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: categoryWithinCycling Context triple: [spring classics, categoryWithinCycling, Classics]
-
A.
cyclingCategory
chosen
Indicates the classification or type of cycling activity or discipline associated with an entity.
-
B.
bikeCategory
Indicates the classification or type of a bicycle that an entity is associated with.
-
C.
bicycleType
Indicates the specific kind or category of bicycle associated with an entity.
-
D.
cyclingReputation
Indicates a reputation or standing that an entity has earned specifically through its cycling-related activities or behavior.
-
E.
importanceInCycling
Indicates the degree to which something is considered significant, influential, or central within the context of cycling.
- 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de612266248190a8591b646fe30ae6 |
completed | April 14, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_69de05b5e7a08190a16be9ad8b92b80c |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 12:53 a.m.