Triple
T15249878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leonid Kravchuk |
E364489
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kravchuk |
E364489
|
NE 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: Kravchuk | Statement: [Leonid Kravchuk, familyName, Kravchuk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kravchuk Context triple: [Leonid Kravchuk, familyName, Kravchuk]
-
A.
Kravchuk
chosen
Kravchuk is a Ukrainian surname most notably associated with Leonid Kravchuk, the first President of independent Ukraine.
-
B.
Czeremcha
Czeremcha is a village in northeastern Poland that serves as a local railway junction and border-area transport hub near Belarus.
-
C.
Kovpak
Kovpak is a Ukrainian surname most notably associated with Sydir Kovpak, a famed Soviet partisan leader during World War II.
-
D.
Turchynov
Turchynov is a Ukrainian politician and former acting president of Ukraine known for his roles in the country’s post-2014 political transition.
-
E.
Fedoruk
Fedoruk is a Ukrainian-origin surname borne by various notable individuals, including Canadian physicist and former Saskatchewan lieutenant governor Sylvia Fedoruk.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007f62b9c8190b9ad40e2d1912b63 |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd4ac4e48190b011b34cb5205b68 |
completed | May 9, 2026, 7:07 a.m. |
Created at: April 10, 2026, 3:13 a.m.