Triple
T12309537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Šamorín |
E293439
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Mosonmagyaróvár |
E663578
|
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: Mosonmagyaróvár | Statement: [Šamorín, hasTwinTown, Mosonmagyaróvár]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mosonmagyaróvár Context triple: [Šamorín, hasTwinTown, Mosonmagyaróvár]
-
A.
Mosonmagyaróvár
chosen
Mosonmagyaróvár is a historic town in northwestern Hungary near the Austrian and Slovak borders, known for its thermal baths and strategic location as a regional transport hub.
-
B.
Mátészalka
Mátészalka is a town in northeastern Hungary known as a local administrative and economic center within the Northern Great Plain region.
-
C.
Csákvár
Csákvár is a small town in central Hungary known for its rural character and location within the Transdanubian region.
-
D.
Balmazújváros
Balmazújváros is a town in eastern Hungary known for its agricultural surroundings and location near the Hortobágy National Park.
-
E.
Nagykőrös
Nagykőrös is a historic town in central Hungary known for its agricultural traditions and small-town character.
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f01ace8819087f245b9216f4dc8 |
completed | April 10, 2026, 6:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e8243d48190baf25b2927de6c62 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:53 p.m.