Triple
T18642610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miroslava Federer |
E455726
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Bojnice |
—
|
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: Bojnice | Statement: [Miroslava Federer, placeOfBirth, Bojnice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bojnice Context triple: [Miroslava Federer, placeOfBirth, Bojnice]
-
A.
Bojnice
chosen
Bojnice is a historic spa town in central Slovakia best known for its fairy-tale Bojnice Castle and popular zoo.
-
B.
Trebišov
Trebišov is a town in eastern Slovakia known as an administrative and cultural center of the Trebišov District.
-
C.
Banská Belá
Banská Belá is a historic village in central Slovakia known for its long-standing association with the region’s mining industry.
-
D.
Velká Bystřice
Velká Bystřice is a small town in the Olomouc Region of the Czech Republic known for its historic center and proximity to the city of Olomouc.
-
E.
Znojmo
Znojmo is a historic town in the South Moravian Region of the Czech Republic, known for its medieval architecture, wine production, and strategic position near the Austrian border.
- 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_69d8d38ea1e88190997e9b231190ba6f |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54fcd6da081908030b052727f2c2f |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 10, 2026, 11:47 a.m.