Triple
T23768219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naoshima Island |
E587445
|
entity |
| Predicate | hasPublicBath |
P68523
|
FINISHED |
| Object | I Love Yu bathhouse |
—
|
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: I Love Yu bathhouse | Statement: [Naoshima Island, hasPublicBath, I Love Yu bathhouse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPublicBath Context triple: [Naoshima Island, hasPublicBath, I Love Yu bathhouse]
-
A.
hasBathhouse
chosen
Indicates that one entity possesses, contains, or is associated with a bathhouse facility.
-
B.
hasNumberOfPublicBathhouses
Indicates the quantity of public bathhouses associated with a given entity.
-
C.
hasAblutionFacilities
Indicates that an entity provides or is equipped with facilities for performing ablution or ritual washing.
-
D.
hasCleaningFacility
Indicates that an entity provides or is equipped with a facility or service for cleaning.
-
E.
typicalBathType
Indicates the usual or most common type of bath associated with an entity, such as a property, room, or accommodation.
- 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_69e2490b8ac48190a6b35f1d5500486b |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1c4638b248190b512841493778483 |
completed | April 29, 2026, 8:42 a.m. |
| PD | Predicate disambiguation | batch_69f155f79e34819080f9ddb972b34deb |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:15 p.m.