Triple
T4342594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aisch |
E97817
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
Aischgrund
Aischgrund is a valley region in Middle Franconia, Germany, known for its numerous carp ponds and traditional fish farming.
|
E433938
|
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: Aischgrund | Statement: [Aisch, flowsThrough, Aischgrund]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aischgrund Context triple: [Aisch, flowsThrough, Aischgrund]
-
A.
Alstätte
Alstätte is a village and district of the town of Ahaus in the Münsterland region of North Rhine-Westphalia, Germany.
-
B.
Schöngarth
Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
-
C.
Erzhausen
Erzhausen is a small municipality in the state of Hesse in central Germany, located near Darmstadt and part of the Rhine-Main metropolitan region.
-
D.
Zollikofen
Zollikofen is a municipality in the canton of Bern in Switzerland, functioning as a suburban community within the greater Bern metropolitan region.
-
E.
Wurmberg
Wurmberg is a prominent mountain in the Harz range of central Germany, popular for skiing, hiking, and panoramic views.
- 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: Aischgrund Triple: [Aisch, flowsThrough, Aischgrund]
Generated description
Aischgrund is a valley region in Middle Franconia, Germany, known for its numerous carp ponds and traditional fish farming.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aischgrund Target entity description: Aischgrund is a valley region in Middle Franconia, Germany, known for its numerous carp ponds and traditional fish farming.
-
A.
Alstätte
Alstätte is a village and district of the town of Ahaus in the Münsterland region of North Rhine-Westphalia, Germany.
-
B.
Schöngarth
Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
-
C.
Erzhausen
Erzhausen is a small municipality in the state of Hesse in central Germany, located near Darmstadt and part of the Rhine-Main metropolitan region.
-
D.
Zollikofen
Zollikofen is a municipality in the canton of Bern in Switzerland, functioning as a suburban community within the greater Bern metropolitan region.
-
E.
Wurmberg
Wurmberg is a prominent mountain in the Harz range of central Germany, popular for skiing, hiking, and panoramic views.
- 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_69b34548402c819085ab68b27c235a87 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351878c148190b384053479d41caf |
completed | March 12, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5dba2b49c81909b7bf87672d71611 |
completed | March 14, 2026, 10:05 p.m. |
| NEDg | Description generation | batch_69b5df98cf5481909dac60a952fab0a9 |
completed | March 14, 2026, 10:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5e01c65648190a34a86dd5a2c8fc8 |
completed | March 14, 2026, 10:24 p.m. |
Created at: March 12, 2026, 11:14 p.m.