Triple
T7434770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gyor-Moson-Sopron County |
E171584
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Mosonmagyaróvár
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.
|
E663578
|
NE FINISHED |
How this triple was built (4 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: [Gyor-Moson-Sopron County, hasCity, Mosonmagyaróvár]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mosonmagyaróvár Context triple: [Gyor-Moson-Sopron County, hasCity, Mosonmagyaróvár]
-
A.
Csákvár
Csákvár is a small town in central Hungary known for its rural character and location within the Transdanubian region.
-
B.
Mosonszentmiklós
Mosonszentmiklós is a village in northwestern Hungary, notable as the birthplace of renowned conductor Arthur Nikisch.
-
C.
Sárvár
Sárvár is a historic town in western Hungary known for its medieval Nádasdy Castle and thermal spa culture.
-
D.
Nagyvázsony
Nagyvázsony is a village in Veszprém County, Hungary, known for its historic Kinizsi Castle and traditional rural character.
-
E.
Rákosszentmihály
Rákosszentmihály is a residential neighborhood in the 16th district of Budapest, known for its suburban character and family-friendly environment.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mosonmagyaróvár Triple: [Gyor-Moson-Sopron County, hasCity, Mosonmagyaróvár]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mosonmagyaróvár Target entity description: 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.
-
A.
Csákvár
Csákvár is a small town in central Hungary known for its rural character and location within the Transdanubian region.
-
B.
Mosonszentmiklós
Mosonszentmiklós is a village in northwestern Hungary, notable as the birthplace of renowned conductor Arthur Nikisch.
-
C.
Sárvár
Sárvár is a historic town in western Hungary known for its medieval Nádasdy Castle and thermal spa culture.
-
D.
Nagyvázsony
Nagyvázsony is a village in Veszprém County, Hungary, known for its historic Kinizsi Castle and traditional rural character.
-
E.
Rákosszentmihály
Rákosszentmihály is a residential neighborhood in the 16th district of Budapest, known for its suburban character and family-friendly environment.
- F. None of above. chosen
Provenance (5 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_69c68a64228c8190affaec2a8127ce7b |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f328cf6081908bea065639fd3620 |
completed | March 27, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81f1d8af48190af856b5e2438781d |
completed | March 28, 2026, 6:34 p.m. |
| NEDg | Description generation | batch_69c82076aa1481909898fd89a87d5214 |
completed | March 28, 2026, 6:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c821f557e08190b39d15c7c7639408 |
completed | March 28, 2026, 6:46 p.m. |
Created at: March 27, 2026, 3:13 p.m.