Triple
T11132331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ekeren |
E263314
|
entity |
| Predicate | hasNeighbouringDistrict |
P17964
|
FINISHED |
| Object |
Kapellen
Kapellen is a municipality in the Belgian province of Antwerp, known for its residential character and green surroundings.
|
E907819
|
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: Kapellen | Statement: [Ekeren, hasNeighbouringDistrict, Kapellen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kapellen Context triple: [Ekeren, hasNeighbouringDistrict, Kapellen]
-
A.
Kapelle
Kapelle is a small municipality and town in the Dutch province of Zeeland, known for its agricultural landscape and historic village character.
-
B.
Ramskapelle
Ramskapelle is a village in the municipality of Knokke-Heist in West Flanders, Belgium, known for its rural character and historical charm.
-
C.
Kapelle-op-den-Bos
Kapelle-op-den-Bos is a municipality in the Flemish Brabant province of Belgium, known for its location along the Brussels–Scheldt Canal and its industrial and residential character.
-
D.
Kappeln
Kappeln is a small town in northern Germany known for its picturesque harbor on the Schlei inlet and its traditional herring fishery.
-
E.
Ostercappeln
Ostercappeln is a municipality in Lower Saxony, Germany, known for its rural character and location near the city of Osnabrück.
- 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: Kapellen Triple: [Ekeren, hasNeighbouringDistrict, Kapellen]
Generated description
Kapellen is a municipality in the Belgian province of Antwerp, known for its residential character and green surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kapellen Target entity description: Kapellen is a municipality in the Belgian province of Antwerp, known for its residential character and green surroundings.
-
A.
Kapelle
Kapelle is a small municipality and town in the Dutch province of Zeeland, known for its agricultural landscape and historic village character.
-
B.
Ramskapelle
Ramskapelle is a village in the municipality of Knokke-Heist in West Flanders, Belgium, known for its rural character and historical charm.
-
C.
Kapelle-op-den-Bos
Kapelle-op-den-Bos is a municipality in the Flemish Brabant province of Belgium, known for its location along the Brussels–Scheldt Canal and its industrial and residential character.
-
D.
Kappeln
Kappeln is a small town in northern Germany known for its picturesque harbor on the Schlei inlet and its traditional herring fishery.
-
E.
Ostercappeln
Ostercappeln is a municipality in Lower Saxony, Germany, known for its rural character and location near the city of Osnabrück.
- 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_69d6aa9c0ba08190bbd19c217489b755 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8347a248190837e8c26f25f553a |
completed | April 9, 2026, 5:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e441e6b72881908f8288e99df0cb7c |
completed | April 19, 2026, 2:45 a.m. |
| NEDg | Description generation | batch_69e44c09163481909d6a469b1e50b6ff |
completed | April 19, 2026, 3:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4519f4d408190be9863c72006ecad |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 8, 2026, 9:28 p.m.