Triple
T22713058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Germans in Hungary |
E561651
|
entity |
| Predicate | notableSettlement |
P13187
|
FINISHED |
| Object |
Véménd
Véménd is a Hungarian village known for its significant ethnic German (Danube Swabian) heritage and cultural history.
|
E1551172
|
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: Véménd | Statement: [Germans in Hungary, notableSettlement, Véménd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Véménd Context triple: [Germans in Hungary, notableSettlement, Véménd]
-
A.
Vézinet
Vézinet is a comic character from Eugène Labiche’s farce "Il cappello di paglia di Firenze" ("The Italian Straw Hat"), typically portrayed as a flustered, middle-class Parisian entangled in the play’s escalating misunderstandings.
-
B.
Vrély
Vrély is a small rural commune in the Somme department of northern France.
-
C.
Verem
Verem is a village in the Tiswadi region of North Goa, India, known for its riverside location along the Mandovi River and proximity to the state capital, Panaji.
-
D.
Velemér
Velemér is a small village in western Hungary known for its historic medieval church and frescoes, situated in the rural Őrség region.
-
E.
Vekoma
Vekoma is a Dutch roller coaster and amusement ride manufacturer known worldwide for designing and building a wide range of thrill and family attractions for theme parks.
- 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: Véménd Triple: [Germans in Hungary, notableSettlement, Véménd]
Generated description
Véménd is a Hungarian village known for its significant ethnic German (Danube Swabian) heritage and cultural history.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Véménd Target entity description: Véménd is a Hungarian village known for its significant ethnic German (Danube Swabian) heritage and cultural history.
-
A.
Vézinet
Vézinet is a comic character from Eugène Labiche’s farce "Il cappello di paglia di Firenze" ("The Italian Straw Hat"), typically portrayed as a flustered, middle-class Parisian entangled in the play’s escalating misunderstandings.
-
B.
Vrély
Vrély is a small rural commune in the Somme department of northern France.
-
C.
Verem
Verem is a village in the Tiswadi region of North Goa, India, known for its riverside location along the Mandovi River and proximity to the state capital, Panaji.
-
D.
Velemér
Velemér is a small village in western Hungary known for its historic medieval church and frescoes, situated in the rural Őrség region.
-
E.
Vekoma
Vekoma is a Dutch roller coaster and amusement ride manufacturer known worldwide for designing and building a wide range of thrill and family attractions for theme parks.
- 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_69e2454f1348819088d83f420925a5c1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1790ab6208190a342f076002324ab |
completed | April 29, 2026, 3:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b7edb9a2c8190aefff02fd998edc2 |
completed | May 18, 2026, 9:04 p.m. |
| NEDg | Description generation | batch_6a0b834f488c8190bee40bd1caea0e40 |
completed | May 18, 2026, 9:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b8717b65c819089d29c1802d1ed55 |
completed | May 18, 2026, 9:39 p.m. |
Created at: April 17, 2026, 3:18 p.m.