Triple
T4347964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grossglockner High Alpine Road |
E97950
|
entity |
| Predicate | numberOfHairpinBends |
P17038
|
FINISHED |
| Object | over 30 |
—
|
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: over 30 | Statement: [Grossglockner High Alpine Road, numberOfHairpinBends, over 30]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfHairpinBends Context triple: [Grossglockner High Alpine Road, numberOfHairpinBends, over 30]
-
A.
hasHairpinBends
Indicates that a route, road, or path includes very sharp, U-shaped turns resembling hairpins.
-
B.
hasNumberOfHairpinTurns
chosen
Indicates the quantity of hairpin turns associated with an entity, such as a road or path.
-
C.
numberOfHumps
Indicates the quantity of humps possessed by an entity.
-
D.
hasNumberOfPins
Indicates that an entity is associated with a specific count of pins it possesses or uses.
-
E.
bendAngle
Indicates the degree to which one part is bent relative to another, typically measured as the angle formed at their joint or intersection.
- 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_69b34548402c819085ab68b27c235a87 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351a5559c819081608b0aaf6a0e66 |
completed | March 12, 2026, 11:52 p.m. |
| PD | Predicate disambiguation | batch_69b34f4fe1c481908d6d66e15697c04b |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:15 p.m.