Triple
T31480095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shimabara Peninsula |
E803114
|
entity |
| Predicate | hasHotSpringResorts |
P31753
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Shimabara Peninsula, hasHotSpringResorts, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHotSpringResorts Context triple: [Shimabara Peninsula, hasHotSpringResorts, yes]
-
A.
hasHotSpring
Indicates that one entity possesses, contains, or is associated with a hot spring.
-
B.
hasNumberOfHotSprings
Indicates the quantity of hot springs associated with a given entity.
-
C.
hasSpaResort
chosen
Indicates that one entity possesses, includes, or is associated with a spa resort as an amenity or feature.
-
D.
isThermalResort
Indicates that a place functions as a thermal resort, offering access to natural thermal waters and related wellness or recreational services.
-
E.
hasPopularResort
Indicates that a location or area contains or is associated with a resort that is widely visited or well-liked.
- 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_69f348c9477c8190bc0a21f6d482d2fc |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fd02680d948190a3463fb119ba8556 |
completed | May 7, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69fcf89c69b4819082bbc564bd15137d |
completed | May 7, 2026, 8:39 p.m. |
Created at: April 30, 2026, 9:31 p.m.