Triple
T7464354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leer (district) |
E176335
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Weener
Weener is a small town and municipality in the Leer district of Lower Saxony in northwestern Germany, known for its historic harbor and location on the River Ems.
|
E666407
|
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: Weener | Statement: [Leer (district), hasMunicipality, Weener]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weener Context triple: [Leer (district), hasMunicipality, Weener]
-
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.
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.
-
C.
Woudenberg
Woudenberg is a small Dutch municipality and town located in the central Netherlands.
-
D.
Breyten
Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
-
E.
Wassen
Wassen is a small Swiss village in the canton of Uri, known for its picturesque church and location along the Gotthard railway and road routes in the central Alps.
- 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: Weener Triple: [Leer (district), hasMunicipality, Weener]
Generated description
Weener is a small town and municipality in the Leer district of Lower Saxony in northwestern Germany, known for its historic harbor and location on the River Ems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Weener Target entity description: Weener is a small town and municipality in the Leer district of Lower Saxony in northwestern Germany, known for its historic harbor and location on the River Ems.
-
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.
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.
-
C.
Woudenberg
Woudenberg is a small Dutch municipality and town located in the central Netherlands.
-
D.
Breyten
Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
-
E.
Wassen
Wassen is a small Swiss village in the canton of Uri, known for its picturesque church and location along the Gotthard railway and road routes in the central Alps.
- 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_69c69f21632481908bf83f6c6da897e3 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f3d9d25c819087efc772b5b127fa |
completed | March 27, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8346adb3081908f049d8dcd623215 |
completed | March 28, 2026, 8:04 p.m. |
| NEDg | Description generation | batch_69c835904be081908fa9317eb5568d82 |
completed | March 28, 2026, 8:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c83621b32c8190bd4b289b5f9f1764 |
completed | March 28, 2026, 8:12 p.m. |
Created at: March 27, 2026, 3:40 p.m.