Triple
T16805748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dukenburg |
E408476
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object |
Meijhorst
Meijhorst is a residential neighborhood in the Dukenburg district of Nijmegen in the Netherlands.
|
E1280824
|
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: Meijhorst | Statement: [Dukenburg, hasNeighbourhood, Meijhorst]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meijhorst Context triple: [Dukenburg, hasNeighbourhood, Meijhorst]
-
A.
Zwanenburg
Zwanenburg is a village in North Holland, Netherlands, situated near Amsterdam and known as a suburban residential community within the Haarlemmermeer municipality.
-
B.
Goudswaard
Goudswaard is a small village in the Dutch province of South Holland, known for its rural character and location on the island of Hoeksche Waard.
-
C.
Steenbergen
Steenbergen is a municipality and town in the Dutch province of North Brabant, known for its rural landscape and proximity to several major waterways.
-
D.
Steenbergen
Steenbergen is a small village located in the municipality of Noordenveld in the Dutch province of Drenthe.
-
E.
Bezuidenhout
Bezuidenhout is a neighborhood in The Hague, Netherlands, known for its residential character and proximity to major government and business districts.
- 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: Meijhorst Triple: [Dukenburg, hasNeighbourhood, Meijhorst]
Generated description
Meijhorst is a residential neighborhood in the Dukenburg district of Nijmegen in the Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Meijhorst Target entity description: Meijhorst is a residential neighborhood in the Dukenburg district of Nijmegen in the Netherlands.
-
A.
Zwanenburg
Zwanenburg is a village in North Holland, Netherlands, situated near Amsterdam and known as a suburban residential community within the Haarlemmermeer municipality.
-
B.
Goudswaard
Goudswaard is a small village in the Dutch province of South Holland, known for its rural character and location on the island of Hoeksche Waard.
-
C.
Steenbergen
Steenbergen is a municipality and town in the Dutch province of North Brabant, known for its rural landscape and proximity to several major waterways.
-
D.
Steenbergen
Steenbergen is a small village located in the municipality of Noordenveld in the Dutch province of Drenthe.
-
E.
Bezuidenhout
Bezuidenhout is a neighborhood in The Hague, Netherlands, known for its residential character and proximity to major government and business districts.
- 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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2cc25dc81909443b2c83155267a |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a021633fc848190b33798dc10ca0d55 |
completed | May 11, 2026, 5:47 p.m. |
| NEDg | Description generation | batch_6a0218494d0c819096fa32b39524f960 |
completed | May 11, 2026, 5:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0218abde2c81908b6fec30ef40876f |
completed | May 11, 2026, 5:58 p.m. |
Created at: April 10, 2026, 5:22 a.m.