Triple
T3482755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aarle-Rixtel |
E73530
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object |
Lieshout
Lieshout is a village in the Dutch province of North Brabant, known for its rural character and the Bavaria brewery.
|
E726197
|
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: Lieshout | Statement: [Aarle-Rixtel, hasNearbySettlement, Lieshout]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lieshout Context triple: [Aarle-Rixtel, hasNearbySettlement, Lieshout]
-
A.
Oostduinkerke
Oostduinkerke is a coastal village in West Flanders, Belgium, known for its North Sea beaches and traditional shrimp fishing on horseback.
-
B.
Terneuzen
Terneuzen is a port city and municipality in the southwestern Netherlands, known for its location on the Western Scheldt and its role in shipping access to the port of Ghent.
-
C.
Vlissingen
Vlissingen is a historic port city on the North Sea coast of the Dutch province of Zeeland, known for its maritime heritage and seaside promenade.
-
D.
Zuidhorn
Zuidhorn is a village and former municipality in the province of Groningen in the northern Netherlands, known for its rural character and proximity to the city of Groningen.
-
E.
Sneek
Sneek is a historic Dutch city known for its waterways, sailing culture, and the iconic Waterpoort gate.
- 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: Lieshout Triple: [Aarle-Rixtel, hasNearbySettlement, Lieshout]
Generated description
Lieshout is a village in the Dutch province of North Brabant, known for its rural character and the Bavaria brewery.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lieshout Target entity description: Lieshout is a village in the Dutch province of North Brabant, known for its rural character and the Bavaria brewery.
-
A.
Oostduinkerke
Oostduinkerke is a coastal village in West Flanders, Belgium, known for its North Sea beaches and traditional shrimp fishing on horseback.
-
B.
Terneuzen
Terneuzen is a port city and municipality in the southwestern Netherlands, known for its location on the Western Scheldt and its role in shipping access to the port of Ghent.
-
C.
Vlissingen
Vlissingen is a historic port city on the North Sea coast of the Dutch province of Zeeland, known for its maritime heritage and seaside promenade.
-
D.
Zuidhorn
Zuidhorn is a village and former municipality in the province of Groningen in the northern Netherlands, known for its rural character and proximity to the city of Groningen.
-
E.
Sneek
Sneek is a historic Dutch city known for its waterways, sailing culture, and the iconic Waterpoort gate.
- 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_69ad85b3c9b08190857cae74c7f36da9 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb76b5188190bf8f8a3f646a7184 |
completed | March 8, 2026, 6:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd93fee4c88190a00a71c146067eef |
completed | April 1, 2026, 9:54 p.m. |
| NEDg | Description generation | batch_69cdab59ac188190ac017651b5a9a04a |
completed | April 1, 2026, 11:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdb2ae376c8190b3918ba6b269dba9 |
completed | April 2, 2026, 12:05 a.m. |
Created at: March 8, 2026, 3:17 p.m.