Triple
T3931857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Passo dello Stelvio |
E90810
|
entity |
| Predicate | oneOfHighestPavedPassesInAlps |
P52599
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Passo dello Stelvio, oneOfHighestPavedPassesInAlps, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oneOfHighestPavedPassesInAlps Context triple: [Passo dello Stelvio, oneOfHighestPavedPassesInAlps, yes]
-
A.
crossesMountainPass
Indicates that an entity traverses from one side of a mountain range to another via a defined mountain pass.
-
B.
distanceToAlps
Indicates the spatial distance between a given location or entity and the Alps.
-
C.
firstRecordedAscentAfter1815
Indicates that the first recorded ascent of something (typically a peak or route) occurred after the year 1815.
-
D.
firstAscentOfHigherSummit
Indicates that the subject entity is the first recorded ascent of a summit that is higher than another referenced summit.
-
E.
skiAreaName
Indicates that an entity has a specific name used to identify a ski area.
- 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_69aed95f26e0819094b0e71974543a19 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeeda98058819094dd6ab223670860 |
completed | March 9, 2026, 3:56 p.m. |
| PD | Predicate disambiguation | batch_69aee7625ad4819097e4e8a168c19274 |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aeed3260cc8190bf294bdab507b1f9 |
completed | March 9, 2026, 3:54 p.m. |
Created at: March 9, 2026, 3:23 p.m.