Triple
T4357422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kop van Overijssel |
E98583
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
De Wieden
De Wieden is a renowned wetland nature reserve in the Dutch province of Overijssel, known for its lakes, reed beds, and rich birdlife.
|
E432812
|
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 Wieden | Statement: [Kop van Overijssel, contains, De Wieden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: De Wieden Context triple: [Kop van Overijssel, contains, De Wieden]
-
A.
Schwansen
Schwansen is a rural peninsula in northern Germany situated between the Schlei inlet and the Eckernförde Bay in the state of Schleswig-Holstein.
-
B.
Wiesener
Wiesener is a surname, likely of German origin, that serves as a variant spelling of the name Wiesner.
-
C.
Subingen
Subingen is a Swiss municipality located in the canton of Solothurn, known for its residential character and proximity to regional transport routes.
-
D.
Woudenberg
Woudenberg is a small Dutch municipality and town located in the central Netherlands.
-
E.
Eschwege
Eschwege is a small historic town in the German state of Hesse, known for its medieval architecture and location near the Werra River.
- 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 Wieden Triple: [Kop van Overijssel, contains, De Wieden]
Generated description
De Wieden is a renowned wetland nature reserve in the Dutch province of Overijssel, known for its lakes, reed beds, and rich birdlife.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: De Wieden Target entity description: De Wieden is a renowned wetland nature reserve in the Dutch province of Overijssel, known for its lakes, reed beds, and rich birdlife.
-
A.
Schwansen
Schwansen is a rural peninsula in northern Germany situated between the Schlei inlet and the Eckernförde Bay in the state of Schleswig-Holstein.
-
B.
Wiesener
Wiesener is a surname, likely of German origin, that serves as a variant spelling of the name Wiesner.
-
C.
Subingen
Subingen is a Swiss municipality located in the canton of Solothurn, known for its residential character and proximity to regional transport routes.
-
D.
Woudenberg
Woudenberg is a small Dutch municipality and town located in the central Netherlands.
-
E.
Eschwege
Eschwege is a small historic town in the German state of Hesse, known for its medieval architecture and location near the Werra River.
- 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_69b3454c772081908e20173e379e8ebe |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351c68a588190ba14a298afacb1dc |
completed | March 12, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5dbb9b9988190adf8a84de3582ab6 |
completed | March 14, 2026, 10:05 p.m. |
| NEDg | Description generation | batch_69b5dc578b08819095cbf6ba8470d3e0 |
completed | March 14, 2026, 10:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5dd1b03508190a47bb6fb93f22ad8 |
completed | March 14, 2026, 10:11 p.m. |
Created at: March 12, 2026, 11:16 p.m.