Triple
T35226998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simav |
E1017124
|
entity |
| Predicate | hasHotSpringUsage |
P195288
|
FINISHED |
| Object | health tourism |
—
|
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: health tourism | Statement: [Simav, hasHotSpringUsage, health tourism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHotSpringUsage Context triple: [Simav, hasHotSpringUsage, health tourism]
-
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.
hasThermalBathsSince
Indicates that an entity has had thermal baths available or in operation continuously since a specified point in time.
-
D.
hotSpringsUsedFor
Indicates that hot springs serve a particular purpose or are utilized for a specific activity, function, or benefit.
-
E.
hasHotSpringsOnSlopes
Indicates that the subject possesses hot springs located on its slopes.
- F. None of above. chosen
Provenance (4 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_69f76de12e4c8190bc46b71a32858356 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fdb45537288190b6791078d4a6899f |
completed | May 8, 2026, 10 a.m. |
| PD | Predicate disambiguation | batch_69fdb39ad96481908376d7def9fafc13 |
completed | May 8, 2026, 9:57 a.m. |
| PDg | Predicate description generation | batch_69fdb4544b548190b8971f8055d48caa |
completed | May 8, 2026, 10 a.m. |
Created at: May 3, 2026, 4:02 p.m.