Triple
T1548740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Col de Larche |
E33037
|
entity |
| Predicate | hasMaximumRoadGradient |
P25297
|
FINISHED |
| Object | about 9 percent |
—
|
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: about 9 percent | Statement: [Col de Larche, hasMaximumRoadGradient, about 9 percent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMaximumRoadGradient Context triple: [Col de Larche, hasMaximumRoadGradient, about 9 percent]
-
A.
hasIncline
chosen
Indicates that one entity possesses or exhibits a slope, tilt, or upward/downward angle relative to another reference.
-
B.
hasMaximumGradeBeforeCurves
Indicates that an entity’s highest achievable grade is specified prior to any grading curves or adjustments being applied.
-
C.
hasCliffHeight
Indicates the relationship between a cliff and the measurement of its vertical height.
-
D.
hasTrailDifficulty
Indicates the level of challenge or effort required to traverse a particular trail or route.
-
E.
hasMajorPlateau
Indicates that an entity possesses or includes a primary, extensive plateau as a significant geographic or structural feature.
- 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_69a885ee6db8819099502bc5ce8af881 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa574094048190a2d7fc3ac904d51e |
completed | March 6, 2026, 4:25 a.m. |
| PD | Predicate disambiguation | batch_69a907b426dc8190975c024a50955368 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.