Triple
T10307107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forchheim district |
E241792
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Pretzfeld
Pretzfeld is a small municipality in northern Bavaria, Germany, known for its fruit cultivation and scenic location in the Franconian Switzerland region.
|
E918414
|
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: Pretzfeld | Statement: [Forchheim district, containsTown, Pretzfeld]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pretzfeld Context triple: [Forchheim district, containsTown, Pretzfeld]
-
A.
Hellefeld
Hellefeld is a village and district within the town of Sundern in the Hochsauerland region of North Rhine-Westphalia, Germany.
-
B.
Bielkenfeld
Bielkenfeld is a locality in the historical region of Prussia, known as the birthplace of the German field marshal and military writer Colmar Freiherr von der Goltz.
-
C.
Pennenfeld
Pennenfeld is a residential subdistrict of the Bonn borough of Bad Godesberg in Germany.
-
D.
Ruhmannsfelden
Ruhmannsfelden is a small market town in the Bavarian Forest region of southeastern Germany.
-
E.
Erstfeld
Erstfeld is a municipality in the Swiss canton of Uri, situated in a mountainous valley that serves as an important transport corridor through the 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: Pretzfeld Triple: [Forchheim district, containsTown, Pretzfeld]
Generated description
Pretzfeld is a small municipality in northern Bavaria, Germany, known for its fruit cultivation and scenic location in the Franconian Switzerland region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pretzfeld Target entity description: Pretzfeld is a small municipality in northern Bavaria, Germany, known for its fruit cultivation and scenic location in the Franconian Switzerland region.
-
A.
Hellefeld
Hellefeld is a village and district within the town of Sundern in the Hochsauerland region of North Rhine-Westphalia, Germany.
-
B.
Bielkenfeld
Bielkenfeld is a locality in the historical region of Prussia, known as the birthplace of the German field marshal and military writer Colmar Freiherr von der Goltz.
-
C.
Pennenfeld
Pennenfeld is a residential subdistrict of the Bonn borough of Bad Godesberg in Germany.
-
D.
Ruhmannsfelden
Ruhmannsfelden is a small market town in the Bavarian Forest region of southeastern Germany.
-
E.
Erstfeld
Erstfeld is a municipality in the Swiss canton of Uri, situated in a mountainous valley that serves as an important transport corridor through the 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d30a6c888190acdd0a645247736a |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e525100e108190b4f6949695c7156e |
completed | April 19, 2026, 6:55 p.m. |
| NEDg | Description generation | batch_69e52a78951c8190923711067cf4e7e5 |
completed | April 19, 2026, 7:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5319b6ef0819096debabfb6ffbe70 |
completed | April 19, 2026, 7:48 p.m. |
Created at: April 6, 2026, 11:46 a.m.