Triple
T9025058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Заячий остров |
E216025
|
entity |
| Predicate | имеетКатегориюОхраны |
P66888
|
FINISHED |
| Object | объект культурного наследия России |
—
|
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: объект культурного наследия России | Statement: [Заячий остров, имеетКатегориюОхраны, объект культурного наследия России]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: имеетКатегориюОхраны Context triple: [Заячий остров, имеетКатегориюОхраны, объект культурного наследия России]
-
A.
protectionCategory
Indicates a classification relationship where an entity is assigned to a specific type or level of protection based on defined protective criteria or rules.
-
B.
hasProtectedAreaCategory
chosen
Indicates that an area is assigned a specific protection or conservation category under a recognized protected area classification system.
-
C.
hasSecurityCategory
Indicates that an entity is associated with a particular security classification or category defining its protection or access level.
-
D.
partOfProtectedAreaCategory
Indicates that one protected area belongs to, or is classified under, a specific protected area category.
-
E.
areClassifiedBy
Indicates that entities are assigned to one or more categories, types, or classes according to a specified classification scheme.
- 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_69ca83a5fa88819088144801b4dd7245 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6a7b902c81909fcbdc433a1acf7a |
completed | April 1, 2026, 12:44 a.m. |
| PD | Predicate disambiguation | batch_69cc5ee132f08190940749c7c522e4c1 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:07 p.m.