Triple
T3946906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California State Route 108 over Sonora Pass |
E92168
|
entity |
| Predicate | hasMaximumGrade |
P52185
|
FINISHED |
| Object | up to 26 percent in some sections |
—
|
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 26 percent in some sections | Statement: [California State Route 108 over Sonora Pass, hasMaximumGrade, up to 26 percent in some sections]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMaximumGrade Context triple: [California State Route 108 over Sonora Pass, hasMaximumGrade, up to 26 percent in some sections]
-
A.
hasMaximumGradeBeforeCurves
Indicates that an entity’s highest achievable grade is specified prior to any grading curves or adjustments being applied.
-
B.
hasGradeCount
Indicates a relationship where an entity is associated with the number of grades it has or has received.
-
C.
hasGrades
Indicates that an entity possesses or is associated with one or more grade values, typically reflecting evaluations or scores.
-
D.
isGradeWithin
Indicates that a given grade value falls within a specified acceptable or defined grade range.
-
E.
hasHighestRegularDegree
Indicates that the subject has the greatest regular (non-irregular or non-special) degree value among a set of comparable entities.
- 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_69aed965502c8190904ebad1203a4ae8 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef1515c688190a38332aedeed8a76 |
completed | March 9, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_69aee764235081909309b3c982f322a9 |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aef14f9bb4819098e64b527b546d74 |
completed | March 9, 2026, 4:11 p.m. |
Created at: March 9, 2026, 3:24 p.m.