Triple
T16219298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dilbeek |
E393676
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Groot-Bijgaarden
Groot-Bijgaarden is a village in Flemish Brabant, Belgium, known for its historic castle and extensive spring flower gardens.
|
E1209781
|
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: Groot-Bijgaarden | Statement: [Dilbeek, contains, Groot-Bijgaarden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Groot-Bijgaarden Context triple: [Dilbeek, contains, Groot-Bijgaarden]
-
A.
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.
-
B.
Haagse Bos
Haagse Bos is a historic forested park in The Hague, Netherlands, known as one of the country’s oldest woodlands and for containing the royal residence Huis ten Bosch.
-
C.
Soestdijk
Soestdijk is a village in the Netherlands known for its historic royal residence, Soestdijk Palace.
-
D.
Oranjewoud
Oranjewoud is a historic estate and village in the Dutch province of Friesland, long associated with the royal House of Orange-Nassau.
-
E.
Noorderpark
Noorderpark is a metro station in Amsterdam located on the city’s North–South Line (Line 52), serving the surrounding Noorderpark area.
- 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: Groot-Bijgaarden Triple: [Dilbeek, contains, Groot-Bijgaarden]
Generated description
Groot-Bijgaarden is a village in Flemish Brabant, Belgium, known for its historic castle and extensive spring flower gardens.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Groot-Bijgaarden Target entity description: Groot-Bijgaarden is a village in Flemish Brabant, Belgium, known for its historic castle and extensive spring flower gardens.
-
A.
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.
-
B.
Haagse Bos
Haagse Bos is a historic forested park in The Hague, Netherlands, known as one of the country’s oldest woodlands and for containing the royal residence Huis ten Bosch.
-
C.
Soestdijk
Soestdijk is a village in the Netherlands known for its historic royal residence, Soestdijk Palace.
-
D.
Oranjewoud
Oranjewoud is a historic estate and village in the Dutch province of Friesland, long associated with the royal House of Orange-Nassau.
-
E.
Noorderpark
Noorderpark is a metro station in Amsterdam located on the city’s North–South Line (Line 52), serving the surrounding Noorderpark area.
- 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e227f95de081908e1abe32d281dbe7 |
completed | April 17, 2026, 12:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00354a20d081908288fb8c0e8b83b6 |
completed | May 10, 2026, 7:35 a.m. |
| NEDg | Description generation | batch_6a00368287d48190b510541eb7851942 |
completed | May 10, 2026, 7:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a003766d4ec8190ab98387781f85bd6 |
completed | May 10, 2026, 7:44 a.m. |
Created at: April 10, 2026, 5:03 a.m.