Triple
T1992555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weser Uplands |
E43282
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Köterberg
Köterberg is a prominent hill in northern Germany known for its panoramic views and popularity among hikers and motorcyclists.
|
E222618
|
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: Köterberg | Statement: [Weser Uplands, contains, Köterberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Köterberg Context triple: [Weser Uplands, contains, Köterberg]
-
A.
Wilseder Berg
Wilseder Berg is a prominent hill and popular viewpoint in northern Germany, known for its scenic heathland landscapes within the Lüneburg Heath region.
-
B.
Jakobsberg
Jakobsberg is a major suburban district and commercial center in the Stockholm metropolitan area, serving as the administrative seat of Järfälla Municipality in Sweden.
-
C.
Havelterberg
Havelterberg is a modest hill and natural area in the Dutch province of Drenthe, known for its scenic landscapes and prehistoric burial mounds.
-
D.
Grauspitz
Grauspitz is a prominent alpine peak in the Rätikon range of the Alps, known as the highest mountain in Liechtenstein and shared with Switzerland.
-
E.
Seebruck
Seebruck is a Bavarian lakeside village and popular holiday resort on the northern shore of Lake Chiemsee in southern Germany.
- 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: Köterberg Triple: [Weser Uplands, contains, Köterberg]
Generated description
Köterberg is a prominent hill in northern Germany known for its panoramic views and popularity among hikers and motorcyclists.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Köterberg Target entity description: Köterberg is a prominent hill in northern Germany known for its panoramic views and popularity among hikers and motorcyclists.
-
A.
Wilseder Berg
Wilseder Berg is a prominent hill and popular viewpoint in northern Germany, known for its scenic heathland landscapes within the Lüneburg Heath region.
-
B.
Jakobsberg
Jakobsberg is a major suburban district and commercial center in the Stockholm metropolitan area, serving as the administrative seat of Järfälla Municipality in Sweden.
-
C.
Havelterberg
Havelterberg is a modest hill and natural area in the Dutch province of Drenthe, known for its scenic landscapes and prehistoric burial mounds.
-
D.
Grauspitz
Grauspitz is a prominent alpine peak in the Rätikon range of the Alps, known as the highest mountain in Liechtenstein and shared with Switzerland.
-
E.
Seebruck
Seebruck is a Bavarian lakeside village and popular holiday resort on the northern shore of Lake Chiemsee in southern Germany.
- 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_69a88714cf2c819081644be450b8356e |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb86275c88190bed869e9d3cf7ed5 |
completed | March 7, 2026, 5:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae033a39d48190b6389e22de0d4418 |
completed | March 8, 2026, 11:16 p.m. |
| NEDg | Description generation | batch_69ae04128e048190a6a36e528586445a |
completed | March 8, 2026, 11:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae049b7b1c81908bae4acd269ce36e |
completed | March 8, 2026, 11:22 p.m. |
Created at: March 4, 2026, 7:37 p.m.