Triple
T9568749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Иван Кожедуб |
E230856
|
entity |
| Predicate | память |
P89852
|
FINISHED |
| Object | ему установлены памятники в разных городах Украины и 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: ему установлены памятники в разных городах Украины и России | Statement: [Иван Кожедуб, память, ему установлены памятники в разных городах Украины и России]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: память Context triple: [Иван Кожедуб, память, ему установлены памятники в разных городах Украины и России]
-
A.
memory
Indicates that an entity retains, recalls, or is associated with stored information or past experiences.
-
B.
memoryType
Indicates the specific category or kind of memory associated with an entity or process.
-
C.
memorability
Indicates how likely something is to be easily remembered or retained in memory by someone.
-
D.
memoryCharacteristic
Indicates a relationship where a specific property or quality is attributed to a memory or memory-related entity.
-
E.
recall
Indicates that an entity retrieves or brings back into awareness information, events, or items that were previously known, experienced, or stored.
- 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_69ca847f22188190a56e4a97625bef22 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9987cb0c8190af32a1193de54890 |
completed | April 1, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69ccd59b960c8190966a8870a2426bd5 |
completed | April 1, 2026, 8:21 a.m. |
| PDg | Predicate description generation | batch_69ccd93e90048190a2b0d7c5c195ba98 |
completed | April 1, 2026, 8:37 a.m. |
Created at: March 30, 2026, 8:04 p.m.