Triple
T22887592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Satono-yu |
E567644
|
entity |
| Predicate | bathingStyle |
P146648
|
FINISHED |
| Object | Japanese onsen style |
—
|
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: Japanese onsen style | Statement: [Satono-yu, bathingStyle, Japanese onsen style]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bathingStyle Context triple: [Satono-yu, bathingStyle, Japanese onsen style]
-
A.
bathingTradition
chosen
Indicates a customary or culturally established way in which bathing is practiced or carried out.
-
B.
typeOfBathingSite
Indicates the specific kind or category of bathing site associated with a given location or facility.
-
C.
typicalBathType
Indicates the usual or most common type of bath associated with an entity, such as a property, room, or accommodation.
-
D.
showerType
Indicates the specific kind or category of shower associated with an entity (e.g., walk-in, bathtub-shower combo, outdoor shower).
-
E.
hasBathhouse
Indicates that one entity possesses, contains, or is associated with a bathhouse facility.
- 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_69e2458a92ec81908fc1cd5f6407d2ab |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17fc2adb4819081bce7e6849ba31a |
completed | April 29, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69ef3b6b2e2481908258156937b5a745 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:40 p.m.