Triple
T2567017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arashiyama Bamboo Grove |
E57374
|
entity |
| Predicate | hasSoundscape |
P22084
|
FINISHED |
| Object | wind rustling through bamboo leaves |
—
|
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: wind rustling through bamboo leaves | Statement: [Arashiyama Bamboo Grove, hasSoundscape, wind rustling through bamboo leaves]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSoundscape Context triple: [Arashiyama Bamboo Grove, hasSoundscape, wind rustling through bamboo leaves]
-
A.
hasSound
chosen
Indicates that an entity produces, emits, or is associated with a particular sound.
-
B.
hasAmbience
Indicates that one entity provides or is characterized by a particular atmosphere, mood, or environmental quality experienced in or around another entity.
-
C.
followsSoundOf
Indicates that one entity moves or directs its attention by tracking the source or direction of a sound produced by another entity.
-
D.
canHear
Indicates that one entity is able to perceive sounds produced by another entity.
-
E.
hasPartialSound
Indicates that one entity’s sound is included as a component or segment within the sound of another entity.
- 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_69ab4a4ef9008190a0e6d4422b9418b7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd3602ed08190aad0f9c7ac577eb0 |
completed | March 7, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69abd0cc8d308190ae7aa32b8f5ae2e5 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:48 p.m.