Triple
T17052977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dinkelland |
E413747
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Weerselo
Weerselo is a village in the Dutch province of Overijssel, known for its rural character and historic monastery site.
|
E1248506
|
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: Weerselo | Statement: [Dinkelland, containsSettlement, Weerselo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weerselo Context triple: [Dinkelland, containsSettlement, Weerselo]
-
A.
Zoersel
Zoersel is a municipality in the Belgian province of Antwerp, known for its green residential character and wooded surroundings.
-
B.
Eelde
Eelde is a village in the Dutch province of Drenthe, known for its proximity to Groningen Airport Eelde and its historic annual flower parade.
-
C.
Loenersloot
Loenersloot is a small village in the Dutch province of Utrecht, known for its historic Loenersloot Castle and rural setting along the river Vecht.
-
D.
Rotselaar
Rotselaar is a municipality in the Flemish Brabant province of Belgium, known for its residential character and proximity to the city of Leuven.
-
E.
Dinteloord
Dinteloord is a village in the Dutch province of North Brabant, known for its agricultural surroundings and sugar beet processing industry.
- 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: Weerselo Triple: [Dinkelland, containsSettlement, Weerselo]
Generated description
Weerselo is a village in the Dutch province of Overijssel, known for its rural character and historic monastery site.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Weerselo Target entity description: Weerselo is a village in the Dutch province of Overijssel, known for its rural character and historic monastery site.
-
A.
Zoersel
Zoersel is a municipality in the Belgian province of Antwerp, known for its green residential character and wooded surroundings.
-
B.
Eelde
Eelde is a village in the Dutch province of Drenthe, known for its proximity to Groningen Airport Eelde and its historic annual flower parade.
-
C.
Loenersloot
Loenersloot is a small village in the Dutch province of Utrecht, known for its historic Loenersloot Castle and rural setting along the river Vecht.
-
D.
Rotselaar
Rotselaar is a municipality in the Flemish Brabant province of Belgium, known for its residential character and proximity to the city of Leuven.
-
E.
Dinteloord
Dinteloord is a village in the Dutch province of North Brabant, known for its agricultural surroundings and sugar beet processing industry.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3daa491008190ad013ee37532aa51 |
completed | April 18, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012343eca0819086a07511c5d22878 |
completed | May 11, 2026, 12:31 a.m. |
| NEDg | Description generation | batch_6a012585a1548190a112f55e2d84ccac |
completed | May 11, 2026, 12:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0126536c348190b9b2eadb4969f8c2 |
completed | May 11, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5:34 a.m.