Triple
T6704588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yessentuki |
E152967
|
entity |
| Predicate | isResortOf |
P72533
|
FINISHED |
| Object | federal significance (Russia) |
—
|
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: federal significance (Russia) | Statement: [Yessentuki, isResortOf, federal significance (Russia)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isResortOf Context triple: [Yessentuki, isResortOf, federal significance (Russia)]
-
A.
isResortDestinationFor
Indicates that a place serves as a resort destination specifically intended for or frequented by a particular person, group, or entity.
-
B.
isResortCityOn
Indicates that a city, characterized as a resort destination, is located on or directly adjacent to a specified geographic feature (such as a coast, lake, or mountain range).
-
C.
isResortTown
Indicates that a town functions primarily as a resort destination, typically focused on tourism, leisure, and vacation activities.
-
D.
associatedResort
Indicates a relationship where one entity is linked or connected to a specific resort, typically as its related or corresponding resort.
-
E.
hasSisterResort
Indicates that one resort is formally associated with another as its sister property, typically under common ownership or branding.
- 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_69c68807adbc8190b8632df42b39eda0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d16897e48190b43eda2206b14d6a |
completed | March 27, 2026, 6:50 p.m. |
| PD | Predicate disambiguation | batch_69c6d089c7488190a00853fb12f53b2a |
completed | March 27, 2026, 6:46 p.m. |
| PDg | Predicate description generation | batch_69c6d1668a7c8190ae93951f9ba2df10 |
completed | March 27, 2026, 6:50 p.m. |
Created at: March 27, 2026, 2:06 p.m.