Triple
T32209225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toroni |
E822753
|
entity |
| Predicate | hasCoastLength |
—
|
GENERATED |
| Object | several kilometers of beach |
—
|
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: hasCoastLength Context triple: [Toroni, hasCoastLength, several kilometers of beach]
-
A.
hasCoastlineLengthApprox
chosen
Indicates an approximate measurement of the total length of an entity’s coastline.
-
B.
hasCoastline
Indicates that a geographic entity is bordered by and directly touches a sea or ocean along part of its boundary.
-
C.
hasCoastalSection
Indicates that a geographic entity includes at least one section of land that directly borders a sea or ocean.
-
D.
hasCoastlineLengthRank
Indicates the relative position of an entity in an ordered ranking based on the length of its coastline.
-
E.
hasCoastlineType
Indicates the specific nature or classification of the coastline associated with a geographic entity.
- 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_69f3490a3bec819097bc58d4731b9d08 |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:37 a.m.