Triple
T36347272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Старый Шивелуч |
E895097
|
entity |
| Predicate | морфология |
P48546
|
FINISHED |
| Object | эродированный вулканический массив |
—
|
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: эродированный вулканический массив | Statement: [Старый Шивелуч, морфология, эродированный вулканический массив]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: морфология Context triple: [Старый Шивелуч, морфология, эродированный вулканический массив]
-
A.
notableMorphology
chosen
Indicates that an entity is characterized by a distinctive or noteworthy physical form, structure, or shape.
-
B.
morphologicalClass
Indicates the classification of an entity based on its morphological form or structural pattern.
-
C.
morphologicalInterpretation
Indicates the specific morphological analysis or grammatical form assigned to an element (such as a word or morpheme) within a linguistic structure.
-
D.
morphologicalEvidence
Indicates that there is supporting evidence based on the form, structure, or morphology of the entities involved.
-
E.
morphologicalComplexity
Indicates the degree to which a language’s word forms are structurally intricate, involving multiple morphemes, inflections, or derivational processes.
- 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.