Triple
T16821819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Driehuis |
E408911
|
entity |
| Predicate | hasNearbyEstate |
P28403
|
FINISHED |
| Object |
Beeckestijn
Beeckestijn is a historic Dutch country estate and former summer residence, renowned for its 18th-century mansion and formal gardens.
|
E1235321
|
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: Beeckestijn | Statement: [Driehuis, hasNearbyEstate, Beeckestijn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beeckestijn Context triple: [Driehuis, hasNearbyEstate, Beeckestijn]
-
A.
Moortebeek
Moortebeek is a residential district within the Brussels municipality of Anderlecht in Belgium.
-
B.
Horebeke
Horebeke is a small rural municipality in the Flemish Ardennes region of East Flanders, Belgium.
-
C.
Boesinghe
Boesinghe is a village in West Flanders, Belgium, known for its proximity to key World War I battlefields along the Yser Front.
-
D.
Borsbeek
Borsbeek is a small municipality in the Belgian province of Antwerp, known for its suburban character and proximity to the city of Antwerp.
-
E.
Kanegem
Kanegem is a small village in West Flanders, Belgium, known for its historic church and rural character.
- 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: Beeckestijn Triple: [Driehuis, hasNearbyEstate, Beeckestijn]
Generated description
Beeckestijn is a historic Dutch country estate and former summer residence, renowned for its 18th-century mansion and formal gardens.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beeckestijn Target entity description: Beeckestijn is a historic Dutch country estate and former summer residence, renowned for its 18th-century mansion and formal gardens.
-
A.
Moortebeek
Moortebeek is a residential district within the Brussels municipality of Anderlecht in Belgium.
-
B.
Horebeke
Horebeke is a small rural municipality in the Flemish Ardennes region of East Flanders, Belgium.
-
C.
Boesinghe
Boesinghe is a village in West Flanders, Belgium, known for its proximity to key World War I battlefields along the Yser Front.
-
D.
Borsbeek
Borsbeek is a small municipality in the Belgian province of Antwerp, known for its suburban character and proximity to the city of Antwerp.
-
E.
Kanegem
Kanegem is a small village in West Flanders, Belgium, known for its historic church and rural character.
- 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_69d88394566c8190b3dcbdc72935f7fa |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b2e77ab88190be1ec8179251864e |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b29a3854819099eed580eea5d84d |
completed | May 10, 2026, 4:30 p.m. |
| NEDg | Description generation | batch_6a00b32d2a588190b59bad56f8817bce |
completed | May 10, 2026, 4:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00b3d14b3c819081f435777f47eca3 |
completed | May 10, 2026, 4:35 p.m. |
Created at: April 10, 2026, 5:23 a.m.