Triple
T34459007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irohazaka Winding Road |
E884581
|
entity |
| Predicate | numberOfHairpinTurns |
—
|
GENERATED |
| Object | 48 |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfHairpinTurns Context triple: [Irohazaka Winding Road, numberOfHairpinTurns, 48]
-
A.
hasNumberOfHairpinTurns
chosen
Indicates the quantity of hairpin turns associated with an entity, such as a road or path.
-
B.
hasHairpinBends
Indicates that a route, road, or path includes very sharp, U-shaped turns resembling hairpins.
-
C.
hairpinsNumberedFrom
Indicates that a set of hairpins is assigned distinct identifiers or positions according to a specific numbering scheme.
-
D.
numberOfHumps
Indicates the quantity of humps possessed by an entity.
-
E.
twistCount
Indicates the number of twists or rotational turns applied or present in the relationship between the related entities.
- F. None of above.
Provenance (1 batch)
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_69f349c73a94819094dfcf50d00620b8 |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 2 a.m.