Triple
T20845464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berehove |
E513212
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object |
Beregszász
Beregszász is the Hungarian name for Berehove, a historic town in western Ukraine’s Zakarpattia region known for its Hungarian minority and thermal baths.
|
E1473025
|
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: Beregszász | Statement: [Berehove, alternativeName, Beregszász]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beregszász Context triple: [Berehove, alternativeName, Beregszász]
-
A.
Füzesabony
Füzesabony is a small town in northeastern Hungary known as a regional railway junction and gateway to the Bükk and Mátra regions.
-
B.
Egerszalók
Egerszalók is a Hungarian village famous for its thermal springs and striking terraced salt hill spa complex.
-
C.
Bonyhád
Bonyhád is a town in southern Hungary known as an important local center within Tolna County.
-
D.
Budakeszi
Budakeszi is a small town in Hungary, located just west of Budapest and known for its surrounding forests and natural recreational areas.
-
E.
Bátonyterenye
Bátonyterenye is a small industrial town in northern Hungary known for its mining heritage and location in Nógrád County.
- 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: Beregszász Triple: [Berehove, alternativeName, Beregszász]
Generated description
Beregszász is the Hungarian name for Berehove, a historic town in western Ukraine’s Zakarpattia region known for its Hungarian minority and thermal baths.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beregszász Target entity description: Beregszász is the Hungarian name for Berehove, a historic town in western Ukraine’s Zakarpattia region known for its Hungarian minority and thermal baths.
-
A.
Füzesabony
Füzesabony is a small town in northeastern Hungary known as a regional railway junction and gateway to the Bükk and Mátra regions.
-
B.
Egerszalók
Egerszalók is a Hungarian village famous for its thermal springs and striking terraced salt hill spa complex.
-
C.
Bonyhád
Bonyhád is a town in southern Hungary known as an important local center within Tolna County.
-
D.
Budakeszi
Budakeszi is a small town in Hungary, located just west of Budapest and known for its surrounding forests and natural recreational areas.
-
E.
Bátonyterenye
Bátonyterenye is a small industrial town in northern Hungary known for its mining heritage and location in Nógrád County.
- 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_69e6c34ec254819082610264c7af20c8 |
completed | April 21, 2026, 12:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0986cd87d48190b6926ac8eb2d5a35 |
completed | May 17, 2026, 9:13 a.m. |
| NEDg | Description generation | batch_6a09879ab0808190acf6dbe3d27b44bb |
completed | May 17, 2026, 9:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09880cdef08190ab5308499f60e6cc |
completed | May 17, 2026, 9:19 a.m. |
Created at: April 16, 2026, 12:43 p.m.