Triple
T38377862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Дворцовый мост |
E893673
|
entity |
| Predicate | являетсяПопулярнымМестом |
P176552
|
FINISHED |
| Object | туристические прогулки |
—
|
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: туристические прогулки | Statement: [Дворцовый мост, являетсяПопулярнымМестом, туристические прогулки]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: являетсяПопулярнымМестом Context triple: [Дворцовый мост, являетсяПопулярнымМестом, туристические прогулки]
-
A.
isPopularAttraction
chosen
Indicates that something is widely liked, frequently visited, or highly regarded as an attraction in a particular context or location.
-
B.
isPopularTouristDestinationIn
Indicates that a place is widely visited and favored by tourists within a specified geographic area or region.
-
C.
isMajorAttractionFor
Indicates that something serves as a primary or highly significant draw or point of interest for a particular audience, group, or location.
-
D.
isTouristDestination
Indicates that a place is recognized as a location people commonly visit for leisure, sightseeing, or travel.
-
E.
gatheringPlace
Indicates a location where entities come together or assemble, typically for a shared activity, purpose, or event.
- 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_69f76e4b1f748190a380696a16eae4a2 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcd1499e2c81909bafd84dc4810f45 |
completed | May 7, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69fcccf024ec819086383ffbb6cfc036 |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 3, 2026, 4:31 p.m.