Triple
T13023194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zottegem |
E326228
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Leeuwergem
Leeuwergem is a village in East Flanders, Belgium, that forms part of the municipality of Zottegem.
|
E1014889
|
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: Leeuwergem | Statement: [Zottegem, contains, Leeuwergem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leeuwergem Context triple: [Zottegem, contains, Leeuwergem]
-
A.
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.
-
B.
Wommelgem
Wommelgem is a municipality in the Belgian province of Antwerp, known for its suburban character and proximity to the city of Antwerp.
-
C.
Kanegem
Kanegem is a small village in West Flanders, Belgium, known for its historic church and rural character.
-
D.
Lembeek
Lembeek is a village in the Belgian municipality of Halle, located along the Senne River in the province of Flemish Brabant.
-
E.
Cureghem
Cureghem is a historically working-class, multicultural neighborhood in the Brussels municipality of Anderlecht, known for its dense urban fabric and industrial heritage.
- 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: Leeuwergem Triple: [Zottegem, contains, Leeuwergem]
Generated description
Leeuwergem is a village in East Flanders, Belgium, that forms part of the municipality of Zottegem.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Leeuwergem Target entity description: Leeuwergem is a village in East Flanders, Belgium, that forms part of the municipality of Zottegem.
-
A.
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.
-
B.
Wommelgem
Wommelgem is a municipality in the Belgian province of Antwerp, known for its suburban character and proximity to the city of Antwerp.
-
C.
Kanegem
Kanegem is a small village in West Flanders, Belgium, known for its historic church and rural character.
-
D.
Lembeek
Lembeek is a village in the Belgian municipality of Halle, located along the Senne River in the province of Flemish Brabant.
-
E.
Cureghem
Cureghem is a historically working-class, multicultural neighborhood in the Brussels municipality of Anderlecht, known for its dense urban fabric and industrial heritage.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97ed05e9c8190a4f208662bca0602 |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c11c1f6c8190be1c570a7e44a313 |
completed | May 3, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69f6c20aff008190a1a10ac02ed08726 |
completed | May 3, 2026, 3:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6c2de143c81908164f5df2b92e5c3 |
completed | May 3, 2026, 3:37 a.m. |
Created at: April 9, 2026, 8:52 p.m.