Triple
T13449443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VIVES University of Applied Sciences |
E320569
|
entity |
| Predicate | hasCampusIn |
P4623
|
FINISHED |
| Object |
Torhout
Torhout is a small city in West Flanders, Belgium, known for its educational institutions and its location near Bruges.
|
E1081931
|
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: Torhout | Statement: [VIVES University of Applied Sciences, hasCampusIn, Torhout]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Torhout Context triple: [VIVES University of Applied Sciences, hasCampusIn, Torhout]
-
A.
Aalst
Aalst is a historic city in the Belgian province of East Flanders, known for its textile industry and famous annual carnival.
-
B.
Turnhout
Turnhout is a historic city in northern Belgium known for its playing card industry, cultural heritage, and role as a regional center in the Kempen area.
-
C.
Luchteren
Luchteren is a subdistrict or neighborhood within the Drongen area of Ghent in the Belgian province of East Flanders.
-
D.
Wommelgem
Wommelgem is a municipality in the Belgian province of Antwerp, known for its suburban character and proximity to the city of Antwerp.
-
E.
De Moer
De Moer is a small village in the Dutch province of North Brabant, known for its rural character and proximity to the Loonse en Drunense Duinen national park.
- 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: Torhout Triple: [VIVES University of Applied Sciences, hasCampusIn, Torhout]
Generated description
Torhout is a small city in West Flanders, Belgium, known for its educational institutions and its location near Bruges.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Torhout Target entity description: Torhout is a small city in West Flanders, Belgium, known for its educational institutions and its location near Bruges.
-
A.
Aalst
Aalst is a historic city in the Belgian province of East Flanders, known for its textile industry and famous annual carnival.
-
B.
Turnhout
Turnhout is a historic city in northern Belgium known for its playing card industry, cultural heritage, and role as a regional center in the Kempen area.
-
C.
Luchteren
Luchteren is a subdistrict or neighborhood within the Drongen area of Ghent in the Belgian province of East Flanders.
-
D.
Wommelgem
Wommelgem is a municipality in the Belgian province of Antwerp, known for its suburban character and proximity to the city of Antwerp.
-
E.
De Moer
De Moer is a small village in the Dutch province of North Brabant, known for its rural character and proximity to the Loonse en Drunense Duinen national park.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaef973b08190a3d7fe1c2a913cff |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdeea935081909baffaadc8a8fac7 |
completed | May 7, 2026, 6:50 p.m. |
| NEDg | Description generation | batch_69fce38906cc8190a8e58fd13b25a385 |
completed | May 7, 2026, 7:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fce403d03c81909432e41d47e6b53f |
completed | May 7, 2026, 7:12 p.m. |
Created at: April 9, 2026, 9:41 p.m.