Triple
T4498718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Werl |
E100762
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Soest plain
The Soest plain is a fertile lowland region in North Rhine-Westphalia, Germany, known for its intensive agriculture and historically significant settlement landscape.
|
E448070
|
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: Soest plain | Statement: [Werl, locatedNear, Soest plain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Soest plain Context triple: [Werl, locatedNear, Soest plain]
-
A.
Tivoli plain
The Tivoli plain is a lowland area near the town of Tivoli in central Italy, known for its fertile terrain and historical significance in the Roman countryside.
-
B.
Barnim Plateau
The Barnim Plateau is a gently undulating glacial landscape in northeastern Germany, characterized by its morainic hills, forests, and agricultural areas.
-
C.
Rottumerplaat
Rottumerplaat is a small, uninhabited Dutch barrier island in the Wadden Sea, known for its protected nature reserve and birdlife.
-
D.
Flachsland
Flachsland is a German-language surname associated with individuals such as Maria Karoline Flachsland.
-
E.
Dransfeld plateau
The Dransfeld plateau is a hilly upland region in Lower Saxony, Germany, characterized by its forested landscapes and rural settlements.
- 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: Soest plain Triple: [Werl, locatedNear, Soest plain]
Generated description
The Soest plain is a fertile lowland region in North Rhine-Westphalia, Germany, known for its intensive agriculture and historically significant settlement landscape.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Soest plain Target entity description: The Soest plain is a fertile lowland region in North Rhine-Westphalia, Germany, known for its intensive agriculture and historically significant settlement landscape.
-
A.
Tivoli plain
The Tivoli plain is a lowland area near the town of Tivoli in central Italy, known for its fertile terrain and historical significance in the Roman countryside.
-
B.
Barnim Plateau
The Barnim Plateau is a gently undulating glacial landscape in northeastern Germany, characterized by its morainic hills, forests, and agricultural areas.
-
C.
Rottumerplaat
Rottumerplaat is a small, uninhabited Dutch barrier island in the Wadden Sea, known for its protected nature reserve and birdlife.
-
D.
Flachsland
Flachsland is a German-language surname associated with individuals such as Maria Karoline Flachsland.
-
E.
Dransfeld plateau
The Dransfeld plateau is a hilly upland region in Lower Saxony, Germany, characterized by its forested landscapes and rural settlements.
- 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_69bd43cdf15081909a4fa2585ff63b3e |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd56c29868819097633c7cd398e865 |
completed | March 20, 2026, 2:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd6f89114081908adbd8e78d4c8ec4 |
completed | March 20, 2026, 4:02 p.m. |
| NEDg | Description generation | batch_69bd71aecafc8190b0815d0308bbcaa9 |
completed | March 20, 2026, 4:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bd75f39d788190b9e394050c55f44d |
completed | March 20, 2026, 4:29 p.m. |
Created at: March 20, 2026, 1 p.m.