Triple
T17080475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mykhailo Verbytsky |
E414455
|
entity |
| Predicate | burialPlace |
P196
|
FINISHED |
| Object | Mlyny |
E1249671
|
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: Mlyny | Statement: [Mykhailo Verbytsky, burialPlace, Mlyny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mlyny Context triple: [Mykhailo Verbytsky, burialPlace, Mlyny]
-
A.
Mlyny
chosen
Mlyny is a village in present-day Poland historically associated with Ukrainian cultural figures, including as the place where composer Mykhailo Verbytsky died.
-
B.
Fiala
Fiala is a Czech surname most prominently associated with Petr Fiala, the Czech politician and Prime Minister.
-
C.
Mumlava
Mumlava is a river in the Krkonoše (Giant) Mountains of the Czech Republic, known for its scenic waterfalls and gorges near the town of Harrachov.
-
D.
Hlubočky
Hlubočky is a municipality and village in the Olomouc Region of the Czech Republic, known historically for its industrial facilities and proximity to the city of Olomouc.
-
E.
Mlava
Mlava is a river in eastern Serbia that flows through the Braničevo region before joining the Danube.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbe24a6481908b4596c95220df4a |
completed | April 18, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0139f7e6408190978c940c6e641d47 |
completed | May 11, 2026, 2:07 a.m. |
Created at: April 10, 2026, 5:34 a.m.