Triple
T21390187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leusden |
E527621
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Stoutenburg
Stoutenburg is a small village in the Dutch province of Utrecht, known for its rural character and historic estate.
|
E1488869
|
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: Stoutenburg | Statement: [Leusden, hasSettlement, Stoutenburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stoutenburg Context triple: [Leusden, hasSettlement, Stoutenburg]
-
A.
Fürstenau
Fürstenau is a small town in Lower Saxony, Germany, known for its historic center and location within the Osnabrück region.
-
B.
Fürstenau
Fürstenau is a village and district within the town of Höxter in North Rhine-Westphalia, Germany.
-
C.
Oudenburg
Oudenburg is a small historic town in the Belgian province of West Flanders, known for its Roman heritage and medieval abbey.
-
D.
Langenburg
Langenburg is a small historic town in the German state of Baden-Württemberg, known for its hilltop castle and association with various noble families.
-
E.
Langenburg
Langenburg is a small town in eastern Saskatchewan, Canada, known for its agricultural surroundings and location near the Manitoba border.
- 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: Stoutenburg Triple: [Leusden, hasSettlement, Stoutenburg]
Generated description
Stoutenburg is a small village in the Dutch province of Utrecht, known for its rural character and historic estate.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stoutenburg Target entity description: Stoutenburg is a small village in the Dutch province of Utrecht, known for its rural character and historic estate.
-
A.
Fürstenau
Fürstenau is a small town in Lower Saxony, Germany, known for its historic center and location within the Osnabrück region.
-
B.
Fürstenau
Fürstenau is a village and district within the town of Höxter in North Rhine-Westphalia, Germany.
-
C.
Oudenburg
Oudenburg is a small historic town in the Belgian province of West Flanders, known for its Roman heritage and medieval abbey.
-
D.
Langenburg
Langenburg is a small historic town in the German state of Baden-Württemberg, known for its hilltop castle and association with various noble families.
-
E.
Langenburg
Langenburg is a small town in eastern Saskatchewan, Canada, known for its agricultural surroundings and location near the Manitoba border.
- 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_69e0b51ff3748190935c0a513c62a12b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b112a7808190ae4b180ce0d2b408 |
completed | April 22, 2026, 11:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09e8120484819096566a1ab353e78c |
completed | May 17, 2026, 4:08 p.m. |
| NEDg | Description generation | batch_6a09e939e31c8190a6bae24ac06250e7 |
completed | May 17, 2026, 4:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09e9cf75308190a2878f6ab0b5f5a2 |
completed | May 17, 2026, 4:16 p.m. |
Created at: April 16, 2026, 5:13 p.m.