Triple
T14680835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mondercange |
E344778
|
entity |
| Predicate | containsAdministrativeTerritorialEntity |
P747
|
FINISHED |
| Object |
Bergem
Bergem is a small town in southwestern Luxembourg that forms part of the commune of Mondercange.
|
E1121980
|
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: Bergem | Statement: [Mondercange, containsAdministrativeTerritorialEntity, Bergem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bergem Context triple: [Mondercange, containsAdministrativeTerritorialEntity, Bergem]
-
A.
Beringen
Beringen is a city and municipality in the Belgian province of Limburg, known for its coal mining heritage and the be-MINE industrial heritage site.
-
B.
Beringen
Beringen is a municipality in northern Switzerland known for its location near the Rhine and its surrounding vineyards and rural landscapes.
-
C.
Wommelgem
Wommelgem is a municipality in the Belgian province of Antwerp, known for its suburban character and proximity to the city of Antwerp.
-
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.
Wijnegem
Wijnegem is a municipality in the Belgian province of Antwerp, known in part for hosting one of the largest shopping centers in the Benelux region.
- 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: Bergem Triple: [Mondercange, containsAdministrativeTerritorialEntity, Bergem]
Generated description
Bergem is a small town in southwestern Luxembourg that forms part of the commune of Mondercange.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bergem Target entity description: Bergem is a small town in southwestern Luxembourg that forms part of the commune of Mondercange.
-
A.
Beringen
Beringen is a city and municipality in the Belgian province of Limburg, known for its coal mining heritage and the be-MINE industrial heritage site.
-
B.
Beringen
Beringen is a municipality in northern Switzerland known for its location near the Rhine and its surrounding vineyards and rural landscapes.
-
C.
Wommelgem
Wommelgem is a municipality in the Belgian province of Antwerp, known for its suburban character and proximity to the city of Antwerp.
-
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.
Wijnegem
Wijnegem is a municipality in the Belgian province of Antwerp, known in part for hosting one of the largest shopping centers in the Benelux region.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb5692284819090f775be8e478522 |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe38857068819085e0d62829302abd |
completed | May 8, 2026, 7:24 p.m. |
| NEDg | Description generation | batch_69fe51446e7c8190ad8d3c1396e64a8e |
completed | May 8, 2026, 9:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe5192da448190869093360766e815 |
completed | May 8, 2026, 9:11 p.m. |
Created at: April 10, 2026, 1:28 a.m.