Triple
T21632854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Novak |
E533877
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Nováková |
—
|
NE NERFINISHED |
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: Nováková | Statement: [Novak, hasVariant, Nováková]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nováková Context triple: [Novak, hasVariant, Nováková]
-
A.
Beránková
Beránková is the feminine form of the Czech surname Beránek, commonly used by women in Czech-speaking regions.
-
B.
Nagyová
Nagyová is a Slovak and Czech feminine surname, typically derived as the female form of the surname Nagy.
-
C.
Novák
chosen
Novák is a common Czech and Slovak surname, equivalent to the Polish surname Nowak.
-
D.
Nováky
Nováky is a small industrial town in western Slovakia known for its coal mining and power generation facilities.
-
E.
Vaňková
Vaňková is a Czech surname commonly borne by women, derived from the masculine form Vaňek.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c465ae7481908577b7209fdb2a77 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef52185dbc819096ad2fc5b7d953f8 |
completed | April 27, 2026, 12:10 p.m. |
Created at: April 16, 2026, 6:35 p.m.