Triple
T19542015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Otodome Falls |
E488928
|
entity |
| Predicate | hasAccessPathSurface |
P80335
|
FINISHED |
| Object | paved sections |
—
|
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: paved sections | Statement: [Otodome Falls, hasAccessPathSurface, paved sections]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAccessPathSurface Context triple: [Otodome Falls, hasAccessPathSurface, paved sections]
-
A.
hasPathSurface
chosen
Indicates that a path is characterized by or associated with a particular type of surface.
-
B.
hasPathAccess
Indicates that one entity is permitted to traverse or use a specified path or route associated with another entity.
-
C.
hasSurfaceLevel
Indicates that one entity possesses or is characterized by a particular degree or measure of surface level (e.g., depth, detail, or superficiality).
-
D.
surfaceAccess
Indicates that one entity provides a means for another entity to reach, enter, or interact with a surface or outer layer.
-
E.
hasSurfaceBody
Indicates that one entity possesses or is characterized by a particular surface or outer body.
- 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6387442588190a2cdae60a6a940d6 |
completed | April 20, 2026, 2:30 p.m. |
| PD | Predicate disambiguation | batch_69e514c9c00481909b76bda67957e58b |
completed | April 19, 2026, 5:45 p.m. |
Created at: April 10, 2026, 1:41 p.m.