Triple
T19579287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beránek |
E489943
|
entity |
| Predicate | hasPluralForm |
P5088
|
FINISHED |
| Object | Beránkovi |
—
|
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: Beránkovi | Statement: [Beránek, hasPluralForm, Beránkovi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beránkovi Context triple: [Beránek, hasPluralForm, Beránkovi]
-
A.
Beránek
chosen
Beránek is a Czech surname and word meaning "little lamb," commonly used as a family name in Czech-speaking regions.
-
B.
Vamberk
Vamberk is a Czech town in the Hradec Králové Region renowned for its long tradition of handmade bobbin lace-making.
-
C.
Bernolák
Bernolák is a Slovak surname most notably associated with Anton Bernolák, the 18th-century linguist who codified the first standard form of the Slovak language.
-
D.
Beran
Beran is a Czech surname most notably borne by Rudolf Beran, a prominent Czechoslovak politician and prime minister before and during the early years of World War II.
-
E.
Ďurčanský
Ďurčanský is a Slovak surname most notably associated with Ferdinand Ďurčanský, a 20th-century Slovak politician and lawyer.
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6402763b8819099e535979f094f9d |
completed | April 20, 2026, 3:03 p.m. |
Created at: April 10, 2026, 1:42 p.m.