Triple
T21237926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eperjes |
E523394
|
entity |
| Predicate | replacedByOfficialName |
P62748
|
FINISHED |
| Object | Prešov |
—
|
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: Prešov | Statement: [Eperjes, replacedByOfficialName, Prešov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prešov Context triple: [Eperjes, replacedByOfficialName, Prešov]
-
A.
Prešov
chosen
Prešov is a historic city in eastern Slovakia known for its preserved medieval center and role as a regional cultural and economic hub.
-
B.
Banská Bystrica
Banská Bystrica is a historic central Slovak city best known as the main center of the anti-Nazi Slovak National Uprising during World War II.
-
C.
Trnava
Trnava is a small rural municipality in eastern Croatia, located within Osijek-Baranja County.
-
D.
Trnava
Trnava is a historic city in western Slovakia known for its well-preserved medieval center and numerous churches, earning it the nickname "Little Rome."
-
E.
Považská Bystrica
Považská Bystrica is a town in northwestern Slovakia known as an industrial center situated in a valley surrounded by the Strážov Mountains.
- 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_69e0b513b89c81908b27147e91368db2 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e735212ad4819082d85f4d4342faf9 |
completed | April 21, 2026, 8:28 a.m. |
Created at: April 16, 2026, 3:46 p.m.