Triple
T15758714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arrondissement of Ghent |
E382036
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Sint-Martens-Latem
Sint-Martens-Latem is a wealthy, picturesque municipality in East Flanders, Belgium, renowned for its artistic heritage and scenic setting along the River Lys.
|
E1181242
|
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: Sint-Martens-Latem | Statement: [Arrondissement of Ghent, contains, Sint-Martens-Latem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sint-Martens-Latem Context triple: [Arrondissement of Ghent, contains, Sint-Martens-Latem]
-
A.
Sint-Martens-Leerne
Sint-Martens-Leerne is a village in East Flanders, Belgium, known as a rural residential community within the municipality of Deinze.
-
B.
Dentergem
Dentergem is a municipality in the Belgian province of West Flanders.
-
C.
Stavelot
Stavelot is a historic town in the Ardennes region of Wallonia, Belgium, known for its former Benedictine abbey and traditional Laetare carnival.
-
D.
Moringhem
Moringhem is a small commune in northern France, located in the Pas-de-Calais department within the Hauts-de-France region.
-
E.
Tessenderlo
Tessenderlo is a municipality in the Belgian province of Limburg, known for its chemical industry and location near the Albert Canal.
- 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: Sint-Martens-Latem Triple: [Arrondissement of Ghent, contains, Sint-Martens-Latem]
Generated description
Sint-Martens-Latem is a wealthy, picturesque municipality in East Flanders, Belgium, renowned for its artistic heritage and scenic setting along the River Lys.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sint-Martens-Latem Target entity description: Sint-Martens-Latem is a wealthy, picturesque municipality in East Flanders, Belgium, renowned for its artistic heritage and scenic setting along the River Lys.
-
A.
Sint-Martens-Leerne
Sint-Martens-Leerne is a village in East Flanders, Belgium, known as a rural residential community within the municipality of Deinze.
-
B.
Dentergem
Dentergem is a municipality in the Belgian province of West Flanders.
-
C.
Stavelot
Stavelot is a historic town in the Ardennes region of Wallonia, Belgium, known for its former Benedictine abbey and traditional Laetare carnival.
-
D.
Moringhem
Moringhem is a small commune in northern France, located in the Pas-de-Calais department within the Hauts-de-France region.
-
E.
Tessenderlo
Tessenderlo is a municipality in the Belgian province of Limburg, known for its chemical industry and location near the Albert Canal.
- 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_69ffa9361f5c8190b68702154d05bbc2 |
completed | May 9, 2026, 9:37 p.m. |
| NEDg | Description generation | batch_69ffaa3903408190b7beaa6b461bd2bd |
completed | May 9, 2026, 9:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffab0c79d4819085f0ed6a4edcb7fb |
completed | May 9, 2026, 9:45 p.m. |
Created at: April 10, 2026, 4:47 a.m.