Triple
T6668053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kagerplassen |
E151655
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Evertsenplas
Evertsenplas is a smaller lake or water area that forms part of the Kagerplassen lake system in the Netherlands.
|
E610177
|
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: Evertsenplas | Statement: [Kagerplassen, hasPart, Evertsenplas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Evertsenplas Context triple: [Kagerplassen, hasPart, Evertsenplas]
-
A.
Gaasperplas
Gaasperplas is a lake and recreational area in the southeastern part of Amsterdam, known for its park, beach, and water activities.
-
B.
Mookerplas
Mookerplas is a recreational lake in the Dutch province of Limburg, popular for swimming, water sports, and nature activities.
-
C.
Woudenberg
Woudenberg is a small Dutch municipality and town located in the central Netherlands.
-
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.
Dinteloord
Dinteloord is a village in the Dutch province of North Brabant, known for its agricultural surroundings and sugar beet processing industry.
- 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: Evertsenplas Triple: [Kagerplassen, hasPart, Evertsenplas]
Generated description
Evertsenplas is a smaller lake or water area that forms part of the Kagerplassen lake system in the Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Evertsenplas Target entity description: Evertsenplas is a smaller lake or water area that forms part of the Kagerplassen lake system in the Netherlands.
-
A.
Gaasperplas
Gaasperplas is a lake and recreational area in the southeastern part of Amsterdam, known for its park, beach, and water activities.
-
B.
Mookerplas
Mookerplas is a recreational lake in the Dutch province of Limburg, popular for swimming, water sports, and nature activities.
-
C.
Woudenberg
Woudenberg is a small Dutch municipality and town located in the central Netherlands.
-
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.
Dinteloord
Dinteloord is a village in the Dutch province of North Brabant, known for its agricultural surroundings and sugar beet processing industry.
- 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_69c687f71fc081909dbd45d6377f6045 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b0c4a8e48190aa3b2e41902d2f86 |
completed | March 27, 2026, 4:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6ef109f5c8190aa28b5d7aa192e6e |
completed | March 27, 2026, 8:56 p.m. |
| NEDg | Description generation | batch_69c6f0a498cc8190a0494082b91b012d |
completed | March 27, 2026, 9:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f136ac648190b94a7cda43139fd0 |
completed | March 27, 2026, 9:05 p.m. |
Created at: March 27, 2026, 2:02 p.m.