Triple
T3788310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Sliding Centre |
E85581
|
entity |
| Predicate | minimumRadiusOfCurves |
P51538
|
FINISHED |
| Object | 8 metres |
—
|
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: 8 metres | Statement: [National Sliding Centre, minimumRadiusOfCurves, 8 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minimumRadiusOfCurves Context triple: [National Sliding Centre, minimumRadiusOfCurves, 8 metres]
-
A.
isCurved
Indicates that an object or path deviates smoothly from a straight line, forming a bend or arc.
-
B.
minimumWidth
Indicates that there is a specified smallest allowable or required width for something in the relationship.
-
C.
allowsSpatialCurvature
Indicates that one entity permits or enables the presence or variation of spatial curvature in relation to another entity or context.
-
D.
hasMaximumGradeBeforeCurves
Indicates that an entity’s highest achievable grade is specified prior to any grading curves or adjustments being applied.
-
E.
ringRadius
Indicates the size of a ring by specifying the distance from its center to its outer edge.
- F. None of above. chosen
Provenance (4 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_69aed937fa8881908208ef3801060826 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee634c6ac819099653c660c286746 |
completed | March 9, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69aee3d4bc3c81909bd56e33d43fa8e4 |
completed | March 9, 2026, 3:14 p.m. |
| PDg | Predicate description generation | batch_69aee633dab88190b14cec8afb19ca6a |
completed | March 9, 2026, 3:24 p.m. |
Created at: March 9, 2026, 3:13 p.m.