Triple
T9568746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Иван Кожедуб |
E230856
|
entity |
| Predicate | почётное гражданство |
P89850
|
FINISHED |
| Object | почётный гражданин города Глухов |
—
|
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: почётный гражданин города Глухов | Statement: [Иван Кожедуб, почётное гражданство, почётный гражданин города Глухов]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: почётное гражданство Context triple: [Иван Кожедуб, почётное гражданство, почётный гражданин города Глухов]
-
A.
grantedCitizenshipBy
Indicates that one entity has officially conferred citizenship status upon another entity.
-
B.
formerCitizenship
Indicates that an entity previously held, but no longer holds, citizenship in a specified country or state.
-
C.
definedCitizenship
Indicates that a formal citizenship status has been legally established or specified for an entity.
-
D.
citizenshipContext
Indicates the legal or social circumstances under which an entity holds or is granted citizenship in a particular state or jurisdiction.
-
E.
cityOfCitizenship
Indicates the city in which a person holds legal citizenship or official civic affiliation.
- 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.