Triple
T22219932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riemst |
E549181
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Vlijtingen
Vlijtingen is a village in the Belgian province of Limburg that forms part of the municipality of Riemst.
|
E1525173
|
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: Vlijtingen | Statement: [Riemst, hasSubdivision, Vlijtingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vlijtingen Context triple: [Riemst, hasSubdivision, Vlijtingen]
-
A.
Vilsteren
Vilsteren is a small rural hamlet in the Dutch province of Overijssel, known for its historic estates and scenic landscape along the river Vecht.
-
B.
Vechta
Vechta is a town in Lower Saxony, Germany, known for its historical significance, university, and annual Stoppelmarkt fair.
-
C.
Vlijmen
Vlijmen is a town in the Dutch province of North Brabant, known historically as part of the Land van Heusden region.
-
D.
Vriescheloo
Vriescheloo is a small village in the province of Groningen in the Netherlands, known for its rural character and historic ribbon-shaped settlement pattern.
-
E.
Zwalm
Zwalm is a rural municipality in East Flanders, Belgium, known for its scenic hilly landscape, watermills, and network of walking and cycling routes.
- 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: Vlijtingen Triple: [Riemst, hasSubdivision, Vlijtingen]
Generated description
Vlijtingen is a village in the Belgian province of Limburg that forms part of the municipality of Riemst.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vlijtingen Target entity description: Vlijtingen is a village in the Belgian province of Limburg that forms part of the municipality of Riemst.
-
A.
Vilsteren
Vilsteren is a small rural hamlet in the Dutch province of Overijssel, known for its historic estates and scenic landscape along the river Vecht.
-
B.
Vechta
Vechta is a town in Lower Saxony, Germany, known for its historical significance, university, and annual Stoppelmarkt fair.
-
C.
Vlijmen
Vlijmen is a town in the Dutch province of North Brabant, known historically as part of the Land van Heusden region.
-
D.
Vriescheloo
Vriescheloo is a small village in the province of Groningen in the Netherlands, known for its rural character and historic ribbon-shaped settlement pattern.
-
E.
Zwalm
Zwalm is a rural municipality in East Flanders, Belgium, known for its scenic hilly landscape, watermills, and network of walking and cycling routes.
- 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_69e11e403d6481909a94d0aaf157f6ef |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b8fa3d081908db0a0556b009d8f |
completed | April 28, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0aae6d90fc8190a6ac75ea0ec0f7f1 |
completed | May 18, 2026, 6:15 a.m. |
| NEDg | Description generation | batch_6a0aaf211d8481908e7c23e35e920e87 |
completed | May 18, 2026, 6:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ab01b5cd48190bf67942798e4db45 |
completed | May 18, 2026, 6:22 a.m. |
Created at: April 16, 2026, 8:37 p.m.