Triple
T28141514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fern Pass |
E714353
|
entity |
| Predicate | maxRoadGradient |
P157514
|
FINISHED |
| Object | about 8 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 8 percent | Statement: [Fern Pass, maxRoadGradient, about 8 percent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maxRoadGradient Context triple: [Fern Pass, maxRoadGradient, about 8 percent]
-
A.
roadMaximumGradient
chosen
Indicates the steepest allowable slope or incline specified for a road segment.
-
B.
maximumGradient
Indicates the greatest rate of change or steepest slope that occurs within a given function, surface, or dataset.
-
C.
railwayGradient
Indicates the slope or steepness of a railway track along its route.
-
D.
roadAverageGradientFromBédoin
Indicates the average slope or steepness of the road when ascending from Bédoin.
-
E.
maximumPinnacleHeight
Indicates the greatest vertical height reached at the highest point (pinnacle) of an object, structure, or formation.
- 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_69efd6af156c81908f50c2cd7db0e1ef |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f64135fa1c819095e4919713159969 |
completed | May 2, 2026, 6:23 p.m. |
| PD | Predicate disambiguation | batch_69f63c6a8474819091b8c6fe98e3862d |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 9:53 p.m.