Triple
T16027075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amstelveen |
E388742
|
entity |
| Predicate | hasNotablePark |
P642
|
FINISHED |
| Object |
De Braak
De Braak is a notable park in Amstelveen, Netherlands, known for its green recreational space and local natural scenery.
|
E1208994
|
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: De Braak | Statement: [Amstelveen, hasNotablePark, De Braak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: De Braak Context triple: [Amstelveen, hasNotablePark, De Braak]
-
A.
Soestdijk
Soestdijk is a village in the Netherlands known for its historic royal residence, Soestdijk Palace.
-
B.
Doorn Van Steyn
Doorn Van Steyn was a British ice skater and actress best known as the first wife of future James Bond star Roger Moore.
-
C.
Land van Heusden
Land van Heusden is a historic region in the northern part of the Dutch province of North Brabant, centered around the town of Heusden and known for its medieval fortifications and river landscapes.
-
D.
Kortenaken
Kortenaken is a rural municipality in the Flemish Brabant province of Belgium, known for its agricultural landscape and small village communities.
-
E.
Randenbroek
Randenbroek is a historic estate near Amersfoort in the Netherlands, known as the place where the Dutch Golden Age architect and painter Jacob van Campen spent his final years.
- 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: De Braak Triple: [Amstelveen, hasNotablePark, De Braak]
Generated description
De Braak is a notable park in Amstelveen, Netherlands, known for its green recreational space and local natural scenery.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: De Braak Target entity description: De Braak is a notable park in Amstelveen, Netherlands, known for its green recreational space and local natural scenery.
-
A.
Soestdijk
Soestdijk is a village in the Netherlands known for its historic royal residence, Soestdijk Palace.
-
B.
Doorn Van Steyn
Doorn Van Steyn was a British ice skater and actress best known as the first wife of future James Bond star Roger Moore.
-
C.
Land van Heusden
Land van Heusden is a historic region in the northern part of the Dutch province of North Brabant, centered around the town of Heusden and known for its medieval fortifications and river landscapes.
-
D.
Kortenaken
Kortenaken is a rural municipality in the Flemish Brabant province of Belgium, known for its agricultural landscape and small village communities.
-
E.
Randenbroek
Randenbroek is a historic estate near Amersfoort in the Netherlands, known as the place where the Dutch Golden Age architect and painter Jacob van Campen spent his final years.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18328707c8190b9a444c78faaaa04 |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002d982788819082fcdd8ab5c80513 |
completed | May 10, 2026, 7:02 a.m. |
| NEDg | Description generation | batch_6a002ec2fd948190878af958d0b90ce6 |
completed | May 10, 2026, 7:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00312a4fc48190b6bd6ad9db71bb4d |
completed | May 10, 2026, 7:18 a.m. |
Created at: April 10, 2026, 4:56 a.m.