Triple
T3931856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Passo dello Stelvio |
E90810
|
entity |
| Predicate | highestPavedPassInItaly |
P52598
|
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, highestPavedPassInItaly, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highestPavedPassInItaly Context triple: [Passo dello Stelvio, highestPavedPassInItaly, yes]
-
A.
highestPoint
Indicates that one entity is the point with the greatest elevation or height relative to another entity or defined area.
-
B.
isSecondHighestPeakIn
Indicates that one entity is the mountain or peak with the second greatest elevation within the geographic or contextual set defined by the other entity.
-
C.
crossesMountainPass
Indicates that an entity traverses from one side of a mountain range to another via a defined mountain pass.
-
D.
areaPeak
Indicates that a specified location or region is the highest point (peak) within a given area or spatial extent.
-
E.
highestPeakClimbed
Indicates the tallest mountain or peak that an entity has successfully climbed.
- 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.