Triple
T13041261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CSI 5* |
E327195
|
entity |
| Predicate | obstacleHeightRange |
P107768
|
FINISHED |
| Object | up to approximately 1.60 metres in Grand Prix |
—
|
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: up to approximately 1.60 metres in Grand Prix | Statement: [CSI 5*, obstacleHeightRange, up to approximately 1.60 metres in Grand Prix]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: obstacleHeightRange Context triple: [CSI 5*, obstacleHeightRange, up to approximately 1.60 metres in Grand Prix]
-
A.
obstacleHeightCharacteristic
chosen
Indicates the characteristic or measured value of an obstacle’s height in relation to a reference level or path.
-
B.
heightRestriction
Indicates that there is a limit or constraint on how tall an entity is allowed or required to be in a given context.
-
C.
heightAboveSurroundings
Indicates that an entity’s vertical position or elevation is higher than that of its immediate surrounding area.
-
D.
hasCliffHeight
Indicates the relationship between a cliff and the measurement of its vertical height.
-
E.
climbedInRange
Indicates that an entity’s climbing activity occurred within a specified range of values, such as time, distance, or elevation.
- 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.