Triple
T15955832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salzlandkreis |
E386930
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Könnern
Könnern is a small town in the German state of Saxony-Anhalt, known for its rural character and location near the Saale River.
|
E1190560
|
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: Könnern | Statement: [Salzlandkreis, containsTown, Könnern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Könnern Context triple: [Salzlandkreis, containsTown, Könnern]
-
A.
Winnental
Winnental is a historical town that served as the capital of the former German territory of Württemberg-Winnental.
-
B.
Orscheid
Orscheid is a small subdistrict within the Aegidienberg area of Bad Honnef in North Rhine-Westphalia, Germany.
-
C.
Baltschieder
Baltschieder is a small Swiss municipality in the canton of Valais, located in the Upper Valais region of the Alps.
-
D.
Kiental
Kiental is a picturesque alpine valley and village in the Bernese Oberland region of Switzerland, known for its dramatic mountain scenery and hiking opportunities.
-
E.
Fricktal
Fricktal is a region in northwestern Switzerland known for its rural landscapes, vineyards, and location along the Rhine near the German border.
- 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: Könnern Triple: [Salzlandkreis, containsTown, Könnern]
Generated description
Könnern is a small town in the German state of Saxony-Anhalt, known for its rural character and location near the Saale River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Könnern Target entity description: Könnern is a small town in the German state of Saxony-Anhalt, known for its rural character and location near the Saale River.
-
A.
Winnental
Winnental is a historical town that served as the capital of the former German territory of Württemberg-Winnental.
-
B.
Orscheid
Orscheid is a small subdistrict within the Aegidienberg area of Bad Honnef in North Rhine-Westphalia, Germany.
-
C.
Baltschieder
Baltschieder is a small Swiss municipality in the canton of Valais, located in the Upper Valais region of the Alps.
-
D.
Kiental
Kiental is a picturesque alpine valley and village in the Bernese Oberland region of Switzerland, known for its dramatic mountain scenery and hiking opportunities.
-
E.
Fricktal
Fricktal is a region in northwestern Switzerland known for its rural landscapes, vineyards, and location along the Rhine near the German border.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156fb29848190a55cabb49cb19575 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbc5034c8190afcaa7d35c957396 |
completed | May 10, 2026, 1:13 a.m. |
| NEDg | Description generation | batch_69ffdc6ee8b48190be33bc9ffe844bae |
completed | May 10, 2026, 1:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffdd0392e08190af42a0cdc5dd4c1f |
completed | May 10, 2026, 1:18 a.m. |
Created at: April 10, 2026, 4:53 a.m.