Triple
T8213863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Júlia Justína Zavacká |
E191887
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Miková |
E192100
|
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: Miková | Statement: [Júlia Justína Zavacká, placeOfBirth, Miková]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miková Context triple: [Júlia Justína Zavacká, placeOfBirth, Miková]
-
A.
Miková
chosen
Miková is a small village in northeastern Slovakia, notable as the birthplace of Julia Warhola, mother of artist Andy Warhol.
-
B.
Nosková
Nosková is a Czech surname, typically the feminine form of the surname Nosek.
-
C.
Mokra
Mokra is a village in southern Poland known as the site of a major early World War II battle between Polish and German forces.
-
D.
Sedova
Sedova is a Russian surname most notably associated with revolutionary figure Natalia Sedova, the second wife of Leon Trotsky.
-
E.
Milevsko
Milevsko is a small historic town in the Czech Republic known for its medieval monastery and location in the South Bohemian Region.
- 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_69ca82c8c054819087fedd9a5436b8a3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb76e1ffa081908883338e7d3a7c6d |
completed | March 31, 2026, 7:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccedea881481909f9348778290eb63 |
completed | April 1, 2026, 10:05 a.m. |
Created at: March 30, 2026, 5:44 p.m.