Triple
T4069194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slava Ukrayini |
E86601
|
entity |
| Predicate | hasCallAndResponseForm |
P22739
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Slava Ukrayini, hasCallAndResponseForm, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCallAndResponseForm Context triple: [Slava Ukrayini, hasCallAndResponseForm, yes]
-
A.
hasCallAndResponseStructure
chosen
Indicates that one element initiates a call and another element provides a corresponding response, forming a paired, back-and-forth structural pattern.
-
B.
hasForm
Indicates that one entity possesses, exhibits, or is characterized by a particular shape, structure, or configuration.
-
C.
hasCallingConvention
Indicates that a function or method uses a specific calling convention that defines how arguments are passed and results are returned.
-
D.
callsFor
Indicates that one entity requires, demands, or requests the occurrence of another action, condition, or entity.
-
E.
containsForm
Indicates that one entity includes or encapsulates another entity as a form, structure, or representation within it.
- 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_69aed93ebe448190a1f1686e28740ac9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefbfa45c88190b7b13b35de816378 |
completed | March 9, 2026, 4:57 p.m. |
| PD | Predicate disambiguation | batch_69aef9061d2481908307cafc9e9b32c0 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:38 p.m.