Triple
T3931827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Passo dello Stelvio |
E90810
|
entity |
| Predicate | numberOfHairpinBendsEastSide |
P17038
|
FINISHED |
| Object | 48 |
—
|
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: 48 | Statement: [Passo dello Stelvio, numberOfHairpinBendsEastSide, 48]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfHairpinBendsEastSide Context triple: [Passo dello Stelvio, numberOfHairpinBendsEastSide, 48]
-
A.
hasNumberOfHairpinTurns
chosen
Indicates the quantity of hairpin turns associated with an entity, such as a road or path.
-
B.
terminusEast
Indicates that one entity serves as the eastern endpoint or final stop of another entity, such as a route, line, or path.
-
C.
boundedToEastBy
Indicates that one entity’s eastern boundary is defined or limited by the presence or extent of another entity.
-
D.
numberOfColumnsOnFlanks
Indicates the count of columns located on the flanking sides of a structure or object.
-
E.
isOnEastWestTrunkLine
Indicates that something is located on, or directly aligned with, a primary east–west transportation or utility trunk line.
- 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_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. |
Created at: March 9, 2026, 3:23 p.m.