Triple
T18893538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kráľová dam |
E462152
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Sereď |
—
|
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: Sereď | Statement: [Kráľová dam, locatedNear, Sereď]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sereď Context triple: [Kráľová dam, locatedNear, Sereď]
-
A.
Sereď
chosen
Sereď is a town in western Slovakia known historically for its industry and its location on the Váh River.
-
B.
Dunajská Streda
Dunajská Streda is a town in southern Slovakia known as a cultural and economic center of the Hungarian minority in the country.
-
C.
Považská Bystrica
Považská Bystrica is a town in northwestern Slovakia known as an industrial center situated in a valley surrounded by the Strážov Mountains.
-
D.
Liptovský Hrádok
Liptovský Hrádok is a small Slovak town in the Liptov region, known for its historic castle complex and location near the Tatra Mountains.
-
E.
Liptovské Sliače
Liptovské Sliače is a village in the Liptov region of northern Slovakia, known for its traditional architecture and scenic mountainous surroundings.
- 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c47d392c81909297211c7d7610a1 |
completed | April 20, 2026, 6:15 a.m. |
Created at: April 10, 2026, 11:58 a.m.