Triple
T13041276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CSI 5* |
E327195
|
entity |
| Predicate | classificationWithinFEI |
P63367
|
FINISHED |
| Object | top tier of CSI 1*–5* scale |
—
|
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: top tier of CSI 1*–5* scale | Statement: [CSI 5*, classificationWithinFEI, top tier of CSI 1*–5* scale]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: classificationWithinFEI Context triple: [CSI 5*, classificationWithinFEI, top tier of CSI 1*–5* scale]
-
A.
sportClassificationSystem
chosen
Indicates a system or scheme used to categorize and organize sports into defined types, groups, or classes based on shared characteristics or rules.
-
B.
unionClassification
Indicates that an entity is categorized or designated according to a specific labor union or union-related classification.
-
C.
sportTypeGoverned
Indicates that a governing body or organization has regulatory authority over a particular type of sport.
-
D.
climbingClassification
Indicates the difficulty rating or grade assigned to a climbing route or problem.
-
E.
typeOfSportOfficial
Indicates that one entity serves as the specific role or type of sports official (e.g., referee, umpire, judge) 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d98a9829b48190b23624b6b3df4600 |
completed | April 10, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69d9803aca4c8190b1015cd159cc47a9 |
completed | April 10, 2026, 10:56 p.m. |
Created at: April 9, 2026, 8:56 p.m.