Triple
T15983686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UCI Asia Tour |
E387637
|
entity |
| Predicate | raceTypeIncluded |
P49218
|
FINISHED |
| Object | one-day race |
—
|
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: one-day race | Statement: [UCI Asia Tour, raceTypeIncluded, one-day race]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: raceTypeIncluded Context triple: [UCI Asia Tour, raceTypeIncluded, one-day race]
-
A.
raceTypeDetail
chosen
Indicates the specific category or classification of a race, providing detailed information about the type of race involved in the relationship.
-
B.
raceTypeHosted
Indicates that a particular type of race is organized or held by a given host or organizing entity.
-
C.
racecourseType
Indicates the specific kind or classification of a racecourse associated with an entity.
-
D.
raceTypeBySex
Indicates that a race or competition is categorized or defined based on the sex of its participants.
-
E.
raceCategory
Indicates the classification of an entity into a specific race or racial group within a defined categorization system.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4d08f481909f38b75e3f42d9ab |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142d9d8e881909b559a3e3ca21d24 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:54 a.m.