Triple
T20815934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balatonfüred District |
E512436
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Dörgicse
Dörgicse is a small village in Veszprém County, Hungary, known for its historic churches and scenic location near Lake Balaton.
|
E1453056
|
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: Dörgicse | Statement: [Balatonfüred District, containsSettlement, Dörgicse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dörgicse Context triple: [Balatonfüred District, containsSettlement, Dörgicse]
-
A.
Tótkomlós
Tótkomlós is a small town in southeastern Hungary known for its agricultural surroundings and traditional rural character.
-
B.
Dobogó
Dobogó is a neighborhood within Budapest’s 11th District, known primarily as an emerging urban area undergoing development on the city’s Buda side.
-
C.
Mundruczó
Mundruczó is the surname of Hungarian film and theatre director Kornél Mundruczó, known for his innovative and often provocative works.
-
D.
Dinnyés
Dinnyés is a village in Fejér County, Hungary, known for its traditional rural character and proximity to Lake Velence.
-
E.
Karcsag
Karcsag is a town in eastern Hungary known as the birthplace of Nobel Prize–winning biochemist Avram Hershko.
- 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: Dörgicse Triple: [Balatonfüred District, containsSettlement, Dörgicse]
Generated description
Dörgicse is a small village in Veszprém County, Hungary, known for its historic churches and scenic location near Lake Balaton.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dörgicse Target entity description: Dörgicse is a small village in Veszprém County, Hungary, known for its historic churches and scenic location near Lake Balaton.
-
A.
Tótkomlós
Tótkomlós is a small town in southeastern Hungary known for its agricultural surroundings and traditional rural character.
-
B.
Dobogó
Dobogó is a neighborhood within Budapest’s 11th District, known primarily as an emerging urban area undergoing development on the city’s Buda side.
-
C.
Mundruczó
Mundruczó is the surname of Hungarian film and theatre director Kornél Mundruczó, known for his innovative and often provocative works.
-
D.
Dinnyés
Dinnyés is a village in Fejér County, Hungary, known for its traditional rural character and proximity to Lake Velence.
-
E.
Karcsag
Karcsag is a town in eastern Hungary known as the birthplace of Nobel Prize–winning biochemist Avram Hershko.
- 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_69e6c2f3473c81908c43a2ec242b1acd |
completed | April 21, 2026, 12:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a090074036081908b02a3553181c77c |
completed | May 16, 2026, 11:40 p.m. |
| NEDg | Description generation | batch_6a090390e6a0819092dbae50a5845961 |
completed | May 16, 2026, 11:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a090402f0708190910174b850dc779a |
completed | May 16, 2026, 11:55 p.m. |
Created at: April 16, 2026, 12:41 p.m.