Triple
T20846288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balatonalmádi District |
E513233
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Felsőörs
Felsőörs is a village in Veszprém County, Hungary, known for its historic Romanesque church and its location near Lake Balaton.
|
E1475565
|
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: Felsőörs | Statement: [Balatonalmádi District, hasSettlement, Felsőörs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Felsőörs Context triple: [Balatonalmádi District, hasSettlement, Felsőörs]
-
A.
Alsóörs
Alsóörs is a village and popular holiday resort on the northern shore of Lake Balaton in Veszprém County, Hungary.
-
B.
Oroszlány
Oroszlány is a town in northwestern Hungary known historically for its coal mining and industrial character.
-
C.
Nagykőrös
Nagykőrös is a historic town in central Hungary known for its agricultural traditions and small-town character.
-
D.
Bodrogköz
Bodrogköz is a low-lying, marshy region in northeastern Hungary known for its riverine landscapes, wetlands, and traditional rural settlements.
-
E.
Egerszalók
Egerszalók is a Hungarian village famous for its thermal springs and striking terraced salt hill spa complex.
- 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: Felsőörs Triple: [Balatonalmádi District, hasSettlement, Felsőörs]
Generated description
Felsőörs is a village in Veszprém County, Hungary, known for its historic Romanesque church and its location near Lake Balaton.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Felsőörs Target entity description: Felsőörs is a village in Veszprém County, Hungary, known for its historic Romanesque church and its location near Lake Balaton.
-
A.
Alsóörs
Alsóörs is a village and popular holiday resort on the northern shore of Lake Balaton in Veszprém County, Hungary.
-
B.
Oroszlány
Oroszlány is a town in northwestern Hungary known historically for its coal mining and industrial character.
-
C.
Nagykőrös
Nagykőrös is a historic town in central Hungary known for its agricultural traditions and small-town character.
-
D.
Bodrogköz
Bodrogköz is a low-lying, marshy region in northeastern Hungary known for its riverine landscapes, wetlands, and traditional rural settlements.
-
E.
Egerszalók
Egerszalók is a Hungarian village famous for its thermal springs and striking terraced salt hill spa complex.
- 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_69e0b4f4898081908209e58edb8f9c45 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c34ffb588190881953a0480b29a8 |
completed | April 21, 2026, 12:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0997e866c88190b75c0600be7dbcc8 |
completed | May 17, 2026, 10:26 a.m. |
| NEDg | Description generation | batch_6a09986fabd08190b2b017aceb9827f6 |
completed | May 17, 2026, 10:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0998e8f2488190800c67f13fb6b1a4 |
completed | May 17, 2026, 10:31 a.m. |
Created at: April 16, 2026, 12:43 p.m.