Triple
T5744259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pozsony |
E126688
|
entity |
| Predicate | alternativeNameOf |
P39
|
FINISHED |
| Object | Prešporok |
E116250
|
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: Prešporok | Statement: [Pozsony, alternativeNameOf, Prešporok]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prešporok Context triple: [Pozsony, alternativeNameOf, Prešporok]
-
A.
Prešporok
chosen
Prešporok is the historical Slovak name for the city now known as Bratislava, the capital of Slovakia.
-
B.
Považská Bystrica
Považská Bystrica is a town in northwestern Slovakia known as an industrial center situated in a valley surrounded by the Strážov Mountains.
-
C.
Prešov
Prešov is a historic city in eastern Slovakia known for its preserved medieval center and role as a regional cultural and economic hub.
-
D.
Trebišov
Trebišov is a town in eastern Slovakia known as an administrative and cultural center of the Trebišov District.
-
E.
Dunajská Streda
Dunajská Streda is a town in southern Slovakia known as a cultural and economic center of the Hungarian minority in the country.
- 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_69c0083179548190b384b0bf3c08ca4d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02586b25c819083c409ce324268cc |
completed | March 22, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e27ba848190b0c289a804b865cd |
completed | March 22, 2026, 11:41 p.m. |
Created at: March 22, 2026, 3:48 p.m.