Triple
T21606671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Александровский сад |
E533191
|
entity |
| Predicate | туристическаяПопулярность |
P20205
|
FINISHED |
| Object | один из самых посещаемых парков Москвы |
—
|
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: один из самых посещаемых парков Москвы | Statement: [Александровский сад, туристическаяПопулярность, один из самых посещаемых парков Москвы]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: туристическаяПопулярность Context triple: [Александровский сад, туристическаяПопулярность, один из самых посещаемых парков Москвы]
-
A.
tourismTrend
Indicates how patterns or levels of tourism activity change over time or across locations.
-
B.
hasTouristPopularity
chosen
Indicates that a place or attraction is recognized as being popular or frequently visited by tourists.
-
C.
tourismType
Indicates the specific category or kind of tourism activity or experience associated with an entity.
-
D.
tourismBoom
Indicates a rapid and significant increase in tourism activity, such as visitor numbers, spending, or development, within a particular place or period.
-
E.
tourismCharacteristic
Indicates that something has a specific feature, quality, or attribute relevant to tourism, such as what makes a place, service, or activity notable or suitable for tourists.
- 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_69e0c46364608190a337dc8720dc2a35 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef17e5783481909db36c388f3ae227 |
completed | April 27, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69e69665fe8c8190af7e38785db188b2 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:33 p.m.