Triple
T25535984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suwa City |
E640038
|
entity |
| Predicate | isHotSpringResortArea |
P32542
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Suwa City, isHotSpringResortArea, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isHotSpringResortArea Context triple: [Suwa City, isHotSpringResortArea, true]
-
A.
hasHotSpring
chosen
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.
isResortTown
Indicates that a town functions primarily as a resort destination, typically focused on tourism, leisure, and vacation activities.
-
D.
hasMineralSpringsTemperatureRange
Indicates the range of temperatures characteristic of the mineral springs associated with an entity.
-
E.
isResortDestinationFor
Indicates that a place serves as a resort destination specifically intended for or frequented by a particular person, group, or entity.
- 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_69e75dbfff7081909b0aa779d48321d2 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f89056b481908f02d5d6d2837bfd |
completed | May 2, 2026, 1:13 p.m. |
| PD | Predicate disambiguation | batch_69f468421ba08190880eac99135e5970 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 3:22 p.m.