Triple
T17013960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vas County |
E412769
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Celldömölk
Celldömölk is a small town in western Hungary known for its historical pilgrimage site and proximity to the Ság Hill volcanic landscape.
|
E1283551
|
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: Celldömölk | Statement: [Vas County, containsSettlement, Celldömölk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Celldömölk Context triple: [Vas County, containsSettlement, Celldömölk]
-
A.
Kalocsa
Kalocsa is a historic town in southern Hungary known as an important Roman Catholic archiepiscopal center and for its traditional paprika production and folk art.
-
B.
Balvanyos
Balvanyos is a Romanian mountain resort area known for its natural mineral springs, spa facilities, and scenic surroundings in the Eastern Carpathians.
-
C.
Dombóvár
Dombóvár is a town in southern Hungary known as an important local transport and economic center within Tolna County.
-
D.
Dunaújváros
Dunaújváros is an industrial city in central Hungary known for its steel production and post-war socialist urban planning.
-
E.
Mátészalka
Mátészalka is a town in northeastern Hungary known as a local administrative and economic center within the Northern Great Plain region.
- 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: Celldömölk Triple: [Vas County, containsSettlement, Celldömölk]
Generated description
Celldömölk is a small town in western Hungary known for its historical pilgrimage site and proximity to the Ság Hill volcanic landscape.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Celldömölk Target entity description: Celldömölk is a small town in western Hungary known for its historical pilgrimage site and proximity to the Ság Hill volcanic landscape.
-
A.
Kalocsa
Kalocsa is a historic town in southern Hungary known as an important Roman Catholic archiepiscopal center and for its traditional paprika production and folk art.
-
B.
Balvanyos
Balvanyos is a Romanian mountain resort area known for its natural mineral springs, spa facilities, and scenic surroundings in the Eastern Carpathians.
-
C.
Dombóvár
Dombóvár is a town in southern Hungary known as an important local transport and economic center within Tolna County.
-
D.
Dunaújváros
Dunaújváros is an industrial city in central Hungary known for its steel production and post-war socialist urban planning.
-
E.
Mátészalka
Mátészalka is a town in northeastern Hungary known as a local administrative and economic center within the Northern Great Plain region.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d47e64f081908f43870c7564d0ae |
completed | April 18, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a023007da0c81908a9665d62a24b44c |
completed | May 11, 2026, 7:37 p.m. |
| NEDg | Description generation | batch_6a023192ea9c819096bf6ed8952f21c4 |
completed | May 11, 2026, 7:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02321a9c6c8190a86ebfdcfa32f786 |
completed | May 11, 2026, 7:46 p.m. |
Created at: April 10, 2026, 5:33 a.m.