Triple
T20815930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balatonfüred District |
E512436
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Balatonhenye
Balatonhenye is a small village in western Hungary, situated near Lake Balaton in Veszprém County.
|
E1458897
|
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: Balatonhenye | Statement: [Balatonfüred District, containsSettlement, Balatonhenye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Balatonhenye Context triple: [Balatonfüred District, containsSettlement, Balatonhenye]
-
A.
Balatonlelle
Balatonlelle is a popular Hungarian holiday town on the southern shore of Lake Balaton, known for its beaches, family-friendly attractions, and lakeside resorts.
-
B.
Balatonalmádi
Balatonalmádi is a popular Hungarian resort town on the northern shore of Lake Balaton, known for its beaches, holiday facilities, and scenic surroundings.
-
C.
Balatoncsicsó
Balatoncsicsó is a small village in Veszprém County in western Hungary, situated near Lake Balaton.
-
D.
Balatonakali
Balatonakali is a small Hungarian village on the northern shore of Lake Balaton, known for its beaches, vineyards, and lakeside tourism.
-
E.
Balatonfüred
Balatonfüred is a historic Hungarian resort town and spa destination on the northern shore of Lake Balaton, known for its promenades, sailing, and mineral springs.
- 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: Balatonhenye Triple: [Balatonfüred District, containsSettlement, Balatonhenye]
Generated description
Balatonhenye is a small village in western Hungary, situated near Lake Balaton in Veszprém County.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Balatonhenye Target entity description: Balatonhenye is a small village in western Hungary, situated near Lake Balaton in Veszprém County.
-
A.
Balatonlelle
Balatonlelle is a popular Hungarian holiday town on the southern shore of Lake Balaton, known for its beaches, family-friendly attractions, and lakeside resorts.
-
B.
Balatonalmádi
Balatonalmádi is a popular Hungarian resort town on the northern shore of Lake Balaton, known for its beaches, holiday facilities, and scenic surroundings.
-
C.
Balatoncsicsó
Balatoncsicsó is a small village in Veszprém County in western Hungary, situated near Lake Balaton.
-
D.
Balatonakali
Balatonakali is a small Hungarian village on the northern shore of Lake Balaton, known for its beaches, vineyards, and lakeside tourism.
-
E.
Balatonfüred
Balatonfüred is a historic Hungarian resort town and spa destination on the northern shore of Lake Balaton, known for its promenades, sailing, and mineral springs.
- 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_69e0b4cd25088190b48ca9700cd24efc |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2d5a514819093d1a18626de8857 |
completed | April 21, 2026, 12:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a092774eda48190a2d0039e2ce63648 |
completed | May 17, 2026, 2:27 a.m. |
| NEDg | Description generation | batch_6a0928a53e3c8190a8e636f5f1387f73 |
completed | May 17, 2026, 2:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0929485ebc8190ab8bc316b3e802ca |
completed | May 17, 2026, 2:34 a.m. |
Created at: April 16, 2026, 12:41 p.m.