Triple
T31483565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beppu Jigoku |
E803210
|
entity |
| Predicate | bathingAllowed |
P39236
|
FINISHED |
| Object | false |
—
|
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: false | Statement: [Beppu Jigoku, bathingAllowed, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bathingAllowed Context triple: [Beppu Jigoku, bathingAllowed, false]
-
A.
swimmingAllowed
chosen
Indicates that swimming is permitted at a particular place, time, or under specified conditions.
-
B.
typeOfBathingSite
Indicates the specific kind or category of bathing site associated with a given location or facility.
-
C.
hasBathhouse
Indicates that one entity possesses, contains, or is associated with a bathhouse facility.
-
D.
hasSwimmingAreaType
Indicates that an entity’s swimming area is classified as a specific type or category (e.g., indoor pool, open water, designated beach zone).
-
E.
hasWaterActivity
Indicates that one entity possesses, exhibits, or is characterized by a particular level or type of water-related activity (such as moisture content, water availability, or water-based processes).
- 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_69f348ca04508190ba9379b5329dfd75 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a5f71b2c8190aade8a83f465be0c |
completed | May 3, 2026, 1:33 a.m. |
| PD | Predicate disambiguation | batch_69f69fe66df08190958558d63ee623d9 |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 30, 2026, 9:34 p.m.