Triple
T36061764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kan-Too |
E1043106
|
entity |
| Predicate | standardRouteGradingApprox |
P193279
|
FINISHED |
| Object | alpine AD to D |
—
|
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: alpine AD to D | Statement: [Kan-Too, standardRouteGradingApprox, alpine AD to D]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: standardRouteGradingApprox Context triple: [Kan-Too, standardRouteGradingApprox, alpine AD to D]
-
A.
standardRouteGain
Indicates the amount of benefit, profit, or advantage obtained through following a normal or predefined route or process.
-
B.
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.
-
C.
railroadGrade
Indicates that one entity is at the elevation or level of a railroad track or crossing relative to another entity.
-
D.
standardRouteSide
Indicates the usual or designated side of a route on which something (e.g., traffic, walking, or placement) is expected to occur or be positioned.
-
E.
standardRouteStartsFrom
Indicates that a standard or predefined route has its starting point at a specified location or entity.
- 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_69f76e2f09448190b0486d5ecad5e243 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd3d46d1f48190a1b20dd063224b7d |
completed | May 8, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69fd3ae1510c81908fe1280efc17feee |
completed | May 8, 2026, 1:22 a.m. |
| PDg | Predicate description generation | batch_69fd3d45ccb8819082f15e60bd33afc9 |
completed | May 8, 2026, 1:32 a.m. |
Created at: May 3, 2026, 4:08 p.m.