Triple
T30754146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ureshino Onsen |
E783033
|
entity |
| Predicate | waterTexture |
P4016
|
FINISHED |
| Object | silky |
—
|
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: silky | Statement: [Ureshino Onsen, waterTexture, silky]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterTexture Context triple: [Ureshino Onsen, waterTexture, silky]
-
A.
waterDepiction
Indicates that one entity visually represents or portrays water in some form (e.g., as a subject, element, or feature) in an image or depiction.
-
B.
texture
chosen
Indicates the surface quality or feel of an entity as perceived by touch or appearance, such as being smooth, rough, soft, or coarse.
-
C.
waterTension
Indicates the relationship in which a liquid exhibits surface tension, resisting external force at its interface due to cohesive molecular forces.
-
D.
waterFilled
Indicates that one entity is filled or occupied with water, typically to a certain level or capacity.
-
E.
terrainMaterial
Indicates the type of physical surface or ground substance that composes a given terrain.
- 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_69f224af8d8481908bea03890c5618be |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fbbc49da8c8190902bbb05d2477cab |
completed | May 6, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69fbb13f34b08190bbbb220ac1e6e666 |
completed | May 6, 2026, 9:23 p.m. |
Created at: April 29, 2026, 8:39 p.m.