Triple
T10221153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midden-Groningen |
E242581
|
entity |
| Predicate | hasJurisdictionOver |
P808
|
FINISHED |
| Object |
Kropswolde
Kropswolde is a village in the Dutch province of Groningen, known for its rural character and proximity to the Zuidlaardermeer lake.
|
E872671
|
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: Kropswolde | Statement: [Midden-Groningen, hasJurisdictionOver, Kropswolde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kropswolde Context triple: [Midden-Groningen, hasJurisdictionOver, Kropswolde]
-
A.
Woudenberg
Woudenberg is a small Dutch municipality and town located in the central Netherlands.
-
B.
Schoorl
Schoorl is a coastal village in North Holland, the Netherlands, known for its extensive dune landscapes and as the birthplace of Renaissance painter Jan van Scorel.
-
C.
Wessum
Wessum is a village and district within the town of Ahaus in the state of North Rhine-Westphalia, Germany.
-
D.
Krimpenerwaard
Krimpenerwaard is a rural municipality in the Dutch province of South Holland, known for its polder landscapes, dikes, and traditional villages between the rivers Lek and Hollandse IJssel.
-
E.
Oegstgeest
Oegstgeest is a suburban town in the western Netherlands, known for its leafy residential character and proximity to the city of Leiden.
- 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: Kropswolde Triple: [Midden-Groningen, hasJurisdictionOver, Kropswolde]
Generated description
Kropswolde is a village in the Dutch province of Groningen, known for its rural character and proximity to the Zuidlaardermeer lake.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kropswolde Target entity description: Kropswolde is a village in the Dutch province of Groningen, known for its rural character and proximity to the Zuidlaardermeer lake.
-
A.
Woudenberg
Woudenberg is a small Dutch municipality and town located in the central Netherlands.
-
B.
Schoorl
Schoorl is a coastal village in North Holland, the Netherlands, known for its extensive dune landscapes and as the birthplace of Renaissance painter Jan van Scorel.
-
C.
Wessum
Wessum is a village and district within the town of Ahaus in the state of North Rhine-Westphalia, Germany.
-
D.
Krimpenerwaard
Krimpenerwaard is a rural municipality in the Dutch province of South Holland, known for its polder landscapes, dikes, and traditional villages between the rivers Lek and Hollandse IJssel.
-
E.
Oegstgeest
Oegstgeest is a suburban town in the western Netherlands, known for its leafy residential character and proximity to the city of Leiden.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa72b258819097d8d50a714e19dc |
completed | April 6, 2026, 12:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94ae0a9608190ab241b6a62fe807b |
completed | April 10, 2026, 7:09 p.m. |
| NEDg | Description generation | batch_69d94c6fa9ac8190819a399754d2bd15 |
completed | April 10, 2026, 7:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d953440a508190a50d1897cdbeba03 |
completed | April 10, 2026, 7:45 p.m. |
Created at: April 6, 2026, 11:09 a.m.