Triple
T10935440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Шивелуч |
E258320
|
entity |
| Predicate | имеетКальдеру |
P96714
|
FINISHED |
| Object | кальдера диаметром несколько километров |
—
|
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: кальдера диаметром несколько километров | Statement: [Шивелуч, имеетКальдеру, кальдера диаметром несколько километров]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: имеетКальдеру Context triple: [Шивелуч, имеетКальдеру, кальдера диаметром несколько километров]
-
A.
hasSculptor
Indicates that one entity serves as the sculptor (creator of a sculpture) of another entity.
-
B.
hasAltarpiecesInStyle
Indicates that an entity possesses or features altarpieces that are created or designed in a specified artistic style.
-
C.
partOfArchitecturalOeuvreOf
Indicates that something is included as a work within the overall architectural output or body of work created by a particular architect or architectural entity.
-
D.
featuresSculptureOf
Indicates that one entity includes or displays a sculpture that depicts or represents another entity.
-
E.
appearsInWorkOfArt
Indicates that an entity is depicted, represented, or otherwise featured within a particular work of art.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770aee178819082c1671a37ff7d82 |
completed | April 9, 2026, 9:26 a.m. |
| PD | Predicate disambiguation | batch_69d72e816a98819096d6c10dfb88a66a |
completed | April 9, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69d7322370648190ba14cdd6fb4cdcb0 |
completed | April 9, 2026, 4:59 a.m. |
Created at: April 8, 2026, 9:23 p.m.