Triple
T36347278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Старый Шивелуч |
E895097
|
entity |
| Predicate | типОбъекта |
P163135
|
FINISHED |
| Object | элемент вулканического сооружения |
—
|
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: элемент вулканического сооружения | Statement: [Старый Шивелуч, типОбъекта, элемент вулканического сооружения]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: типОбъекта Context triple: [Старый Шивелуч, типОбъекта, элемент вулканического сооружения]
-
A.
тип
Indicates that one entity is classified as a type or category of another entity.
-
B.
typicalObjectType
Indicates that something is a common or characteristic type of object typically associated with or involved in another entity or situation.
-
C.
InType
chosen
Indicates that an entity belongs to, is categorized under, or is an instance of a specified type or class.
-
D.
typeOfFigure
Indicates that one entity is a specific kind or category of geometric figure relative to another.
-
E.
типСтроения
Indicates the specific kind or category of building or structure associated with an entity.
- 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_69f76e4f437c8190a1af3ea2564f41f5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7bb3ff1b08190802b1063d55d3923 |
completed | May 3, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a611a081908dd6aec1df3f4d7f |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:09 p.m.