Triple
T33408219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chagu Chagu Umakko |
E855496
|
entity |
| Predicate | soundscapeRecognition |
P84027
|
FINISHED |
| Object | 100 Soundscapes of Japan |
—
|
NE NERFINISHED |
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: 100 Soundscapes of Japan | Statement: [Chagu Chagu Umakko, soundscapeRecognition, 100 Soundscapes of Japan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: soundscapeRecognition Context triple: [Chagu Chagu Umakko, soundscapeRecognition, 100 Soundscapes of Japan]
-
A.
songRecognition
Indicates that an entity identifies or acknowledges a song, typically by matching it to a known title, artist, or recording.
-
B.
soundCategory
chosen
Indicates the classification relationship where a sound is assigned to a particular category or type of sound.
-
C.
usesBeatlessSoundscape
Indicates that something employs a musical or audio backdrop that lacks a discernible rhythmic beat or percussion.
-
D.
soundMotif
Indicates a recurring or thematically significant sound pattern associated with an entity, event, or context.
-
E.
themeSongRecognition
Indicates that one entity recognizes or identifies the theme song associated with 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_69f3496f04a08190804e56ac5098b8e4 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e47f37848190aadb137c81760f1f |
completed | May 3, 2026, 6 a.m. |
| PD | Predicate disambiguation | batch_69f6e3da41948190a4cfe866ce184f73 |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:36 a.m.