Triple
T15758715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arrondissement of Ghent |
E382036
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Wachtebeke
Wachtebeke is a municipality in the East Flanders province of Belgium, known for its rural character and natural areas such as the Puyenbroeck provincial domain.
|
E1182803
|
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: Wachtebeke | Statement: [Arrondissement of Ghent, contains, Wachtebeke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wachtebeke Context triple: [Arrondissement of Ghent, contains, Wachtebeke]
-
A.
Wielsbeke
Wielsbeke is a municipality in the Belgian province of West Flanders.
-
B.
Waarbeke
Waarbeke is a small village in the Flemish region of Belgium, situated within the municipality of Geraardsbergen in East Flanders.
-
C.
Merelbeke
Merelbeke is a municipality in East Flanders, Belgium, known in part for hosting Ghent University's Faculty of Veterinary Medicine.
-
D.
Meerbeke
Meerbeke is a village in East Flanders, Belgium, best known for having long served as the traditional finish town of the Tour of Flanders cycling race.
-
E.
Borsbeek
Borsbeek is a small municipality in the Belgian province of Antwerp, known for its suburban character and proximity to the city of Antwerp.
- 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: Wachtebeke Triple: [Arrondissement of Ghent, contains, Wachtebeke]
Generated description
Wachtebeke is a municipality in the East Flanders province of Belgium, known for its rural character and natural areas such as the Puyenbroeck provincial domain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wachtebeke Target entity description: Wachtebeke is a municipality in the East Flanders province of Belgium, known for its rural character and natural areas such as the Puyenbroeck provincial domain.
-
A.
Wielsbeke
Wielsbeke is a municipality in the Belgian province of West Flanders.
-
B.
Waarbeke
Waarbeke is a small village in the Flemish region of Belgium, situated within the municipality of Geraardsbergen in East Flanders.
-
C.
Merelbeke
Merelbeke is a municipality in East Flanders, Belgium, known in part for hosting Ghent University's Faculty of Veterinary Medicine.
-
D.
Meerbeke
Meerbeke is a village in East Flanders, Belgium, best known for having long served as the traditional finish town of the Tour of Flanders cycling race.
-
E.
Borsbeek
Borsbeek is a small municipality in the Belgian province of Antwerp, known for its suburban character and proximity to the city of Antwerp.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e050b35ea48190a758ee76a57b5451 |
completed | April 16, 2026, 3 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb03539c081908b5df46bb810b949 |
completed | May 9, 2026, 10:07 p.m. |
| NEDg | Description generation | batch_69ffb13fdb6c819091c3ee5c1f199031 |
completed | May 9, 2026, 10:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb208aef881909b3a00e0015c27df |
completed | May 9, 2026, 10:15 p.m. |
Created at: April 10, 2026, 4:47 a.m.