Triple
T9568747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Иван Кожедуб |
E230856
|
entity |
| Predicate | в его честь названы |
P89851
|
FINISHED |
| Object | улицы в различных городах бывшего СССР |
—
|
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: улицы в различных городах бывшего СССР | Statement: [Иван Кожедуб, в его честь названы, улицы в различных городах бывшего СССР]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: в его честь названы Context triple: [Иван Кожедуб, в его честь названы, улицы в различных городах бывшего СССР]
-
A.
hasPartInHisHonor
Indicates that something includes or contains a part, section, or component that is dedicated or named in honor of a particular person.
-
B.
isGivenInHonorOf
Indicates that something (such as an award, gift, or event) is presented or dedicated as a mark of respect or recognition for a particular person or entity.
-
C.
hasAwardNamedAfter
Indicates that an entity has an award that is named in honor of another entity.
-
D.
hasPlaceNamedAfter
Indicates that one place is named in honor of or derived from the name of another place.
-
E.
notablePlaceNamedAfter
Indicates that a notable place (such as a city, building, or landmark) is named in honor of or derived from the name of a particular entity.
- 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.