Triple
T17045812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamawaki Onsen district |
E413564
|
entity |
| Predicate | hasBathingStyle |
P76823
|
FINISHED |
| Object | communal bathing |
—
|
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: communal bathing | Statement: [Hamawaki Onsen district, hasBathingStyle, communal bathing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBathingStyle Context triple: [Hamawaki Onsen district, hasBathingStyle, communal bathing]
-
A.
hasBathhouse
Indicates that one entity possesses, contains, or is associated with a bathhouse facility.
-
B.
typicalBathType
chosen
Indicates the usual or most common type of bath associated with an entity, such as a property, room, or accommodation.
-
C.
showerType
Indicates the specific kind or category of shower associated with an entity (e.g., walk-in, bathtub-shower combo, outdoor shower).
-
D.
hasOceanBaths
Indicates that a place or location contains or is equipped with ocean baths—man-made seawater pools or bathing facilities built along the coastline.
-
E.
bathroomFeatures
Indicates that a bathroom includes or is equipped with specific features or amenities.
- 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3da9d7e988190a5e3991c7123f9b0 |
completed | April 18, 2026, 7:25 p.m. |
| PD | Predicate disambiguation | batch_69e35d60a588819084f53ef9f8b2e7c0 |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:33 a.m.