Triple
T13449442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VIVES University of Applied Sciences |
E320569
|
entity |
| Predicate | hasCampusIn |
P4623
|
FINISHED |
| Object |
Tielt
Tielt is a small city in West Flanders, Belgium, known for its regional services, education facilities, and local cultural events.
|
E1040306
|
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: Tielt | Statement: [VIVES University of Applied Sciences, hasCampusIn, Tielt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tielt Context triple: [VIVES University of Applied Sciences, hasCampusIn, Tielt]
-
A.
Tielt-Winge
Tielt-Winge is a municipality in the Flemish Brabant province of Belgium, known for its rural character and scattered villages including Meensel-Kiezegem.
-
B.
Tiel
Tiel is a historic Dutch city situated along the River Waal, known for its fruit cultivation and role as a regional trade center in the province of Gelderland.
-
C.
Teuge
Teuge is a village in the Netherlands known for its small international airport and skydiving activities.
-
D.
Struycken
Struycken is a Dutch surname most notably borne by actor Carel Struycken, known for his distinctive tall stature and roles in film and television.
-
E.
Toorop
Toorop is the surname of Jan Toorop, a prominent Dutch-Indonesian painter associated with Symbolism and Art Nouveau.
- 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: Tielt Triple: [VIVES University of Applied Sciences, hasCampusIn, Tielt]
Generated description
Tielt is a small city in West Flanders, Belgium, known for its regional services, education facilities, and local cultural events.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tielt Target entity description: Tielt is a small city in West Flanders, Belgium, known for its regional services, education facilities, and local cultural events.
-
A.
Tielt-Winge
Tielt-Winge is a municipality in the Flemish Brabant province of Belgium, known for its rural character and scattered villages including Meensel-Kiezegem.
-
B.
Tiel
Tiel is a historic Dutch city situated along the River Waal, known for its fruit cultivation and role as a regional trade center in the province of Gelderland.
-
C.
Teuge
Teuge is a village in the Netherlands known for its small international airport and skydiving activities.
-
D.
Struycken
Struycken is a Dutch surname most notably borne by actor Carel Struycken, known for his distinctive tall stature and roles in film and television.
-
E.
Toorop
Toorop is the surname of Jan Toorop, a prominent Dutch-Indonesian painter associated with Symbolism and Art Nouveau.
- 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_69f73999f8388190b2c578e063341178 |
completed | May 3, 2026, 12:03 p.m. |
| NEDg | Description generation | batch_69f73af2b37481908c4d282c1335fe08 |
completed | May 3, 2026, 12:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f73b959de88190959335353242031b |
completed | May 3, 2026, 12:12 p.m. |
Created at: April 9, 2026, 9:41 p.m.