Triple
T24689395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iseran Pass |
E611389
|
entity |
| Predicate | roadGradient |
P20528
|
FINISHED |
| Object | steep in 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: steep in sections | Statement: [Iseran Pass, roadGradient, steep in sections]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadGradient Context triple: [Iseran Pass, roadGradient, steep in sections]
-
A.
railwayGradient
Indicates the slope or steepness of a railway track along its route.
-
B.
laneSurface
Indicates the type or condition of the surface that makes up a lane used for travel or traffic.
-
C.
slopeType
chosen
Indicates the classification of a slope based on its geometric or physical characteristics, such as steepness, shape, or orientation.
-
D.
railroadGrade
Indicates that one entity is at the elevation or level of a railroad track or crossing relative to another entity.
-
E.
hasSlopeRating
Indicates that something (typically a golf course or hole) is associated with a specific slope rating value that quantifies its relative difficulty for bogey golfers compared to scratch golfers.
- 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_69e2c4d678b081908910f4271627a31a |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f410fe3b848190ae296a29f742ee30 |
completed | May 1, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69f40ee8ada8819089a7016b50308ff0 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 3:19 a.m.