Triple
T23048005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dinnyés |
E573929
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Gárdony (town) |
—
|
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: Gárdony (town) | Statement: [Dinnyés, partOf, Gárdony (town)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gárdony (town) Context triple: [Dinnyés, partOf, Gárdony (town)]
-
A.
Gárdony
chosen
Gárdony is a Hungarian town and popular resort area on the southern shore of Lake Velence, known for its beaches, thermal waters, and recreational tourism.
-
B.
Nyíradony
Nyíradony is a small town in eastern Hungary, located in Hajdú-Bihar County near Debrecen.
-
C.
Püspökladány
Püspökladány is a town in eastern Hungary known for its location on the Great Hungarian Plain and its role as a local agricultural and transport hub.
-
D.
Gyöngyös
Gyöngyös is a historic town in northern Hungary known as a gateway to the Mátra mountain range and its surrounding wine-producing region.
-
E.
Zalaszántó
Zalaszántó is a village in western Hungary known for its scenic rural setting near Lake Balaton and its large Buddhist stupa, one of the biggest in Europe.
- 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_69e245b9c11481909d06c872214d21af |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1867a206c81909ff923cbf56f7787 |
completed | April 29, 2026, 4:18 a.m. |
Created at: April 17, 2026, 3:54 p.m.