Triple
T2192490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eemsdelta |
E49893
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Garrelsweer
Garrelsweer is a small village in the province of Groningen in the Netherlands, situated within the municipality of Eemsdelta.
|
E242562
|
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: Garrelsweer | Statement: [Eemsdelta, containsSettlement, Garrelsweer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Garrelsweer Context triple: [Eemsdelta, containsSettlement, Garrelsweer]
-
A.
Reimerswaal
Reimerswaal is a coastal municipality in the Dutch province of Zeeland, known for its agricultural landscape and location along the Eastern Scheldt estuary.
-
B.
Sorpesee
Sorpesee is a popular artificial lake in the Sauerland region of Germany, known for recreation, water sports, and scenic surroundings.
-
C.
Schwansen
Schwansen is a rural peninsula in northern Germany situated between the Schlei inlet and the Eckernförde Bay in the state of Schleswig-Holstein.
-
D.
Bemmelerwaard
Bemmelerwaard is a riverine floodplain area in the Netherlands known for its natural landscapes and ecological value along the Waal.
-
E.
Schwansee
Schwansee is a picturesque alpine lake in Bavaria, Germany, known for its scenic setting near Neuschwanstein and Hohenschwangau castles.
- 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: Garrelsweer Triple: [Eemsdelta, containsSettlement, Garrelsweer]
Generated description
Garrelsweer is a small village in the province of Groningen in the Netherlands, situated within the municipality of Eemsdelta.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Garrelsweer Target entity description: Garrelsweer is a small village in the province of Groningen in the Netherlands, situated within the municipality of Eemsdelta.
-
A.
Reimerswaal
Reimerswaal is a coastal municipality in the Dutch province of Zeeland, known for its agricultural landscape and location along the Eastern Scheldt estuary.
-
B.
Sorpesee
Sorpesee is a popular artificial lake in the Sauerland region of Germany, known for recreation, water sports, and scenic surroundings.
-
C.
Schwansen
Schwansen is a rural peninsula in northern Germany situated between the Schlei inlet and the Eckernförde Bay in the state of Schleswig-Holstein.
-
D.
Bemmelerwaard
Bemmelerwaard is a riverine floodplain area in the Netherlands known for its natural landscapes and ecological value along the Waal.
-
E.
Schwansee
Schwansee is a picturesque alpine lake in Bavaria, Germany, known for its scenic setting near Neuschwanstein and Hohenschwangau castles.
- 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_69a88aaba3c48190b351cab9b26989ff |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbf48ceb48190956df39377df0548 |
completed | March 7, 2026, 6:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5db283cc8190b75870cb2aabc5af |
completed | March 9, 2026, 5:42 a.m. |
| NEDg | Description generation | batch_69ae5e7b13108190bc3f4edbff3bdb24 |
completed | March 9, 2026, 5:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae5edfe80481908c3304c917c9065b |
completed | March 9, 2026, 5:47 a.m. |
Created at: March 4, 2026, 7:46 p.m.