Triple
T6624507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schweinfurt region |
E149760
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Wiesentheid
Wiesentheid is a market town in northern Bavaria, Germany, known for its Baroque architecture and location within the Franconian wine-growing region.
|
E606294
|
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: Wiesentheid | Statement: [Schweinfurt region, containsTown, Wiesentheid]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wiesentheid Context triple: [Schweinfurt region, containsTown, Wiesentheid]
-
A.
Schönbuch
Schönbuch is a large forest and nature reserve in the German state of Baden-Württemberg, known for its extensive woodlands, wildlife, and recreational hiking areas.
-
B.
Wiesener
Wiesener is a surname, likely of German origin, that serves as a variant spelling of the name Wiesner.
-
C.
Weidach
Weidach is a locality or district that forms part of the municipality of Blaustein in the state of Baden-Württemberg, Germany.
-
D.
Appenweier
Appenweier is a municipality in southwestern Germany’s Baden-Württemberg region, situated within the Ortenau district near the Rhine and the French border.
-
E.
Pitztal
Pitztal is a valley in the Austrian Tyrol known for its high alpine scenery, glacier skiing, and access to prominent peaks in the Ötztal 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: Wiesentheid Triple: [Schweinfurt region, containsTown, Wiesentheid]
Generated description
Wiesentheid is a market town in northern Bavaria, Germany, known for its Baroque architecture and location within the Franconian wine-growing region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wiesentheid Target entity description: Wiesentheid is a market town in northern Bavaria, Germany, known for its Baroque architecture and location within the Franconian wine-growing region.
-
A.
Schönbuch
Schönbuch is a large forest and nature reserve in the German state of Baden-Württemberg, known for its extensive woodlands, wildlife, and recreational hiking areas.
-
B.
Wiesener
Wiesener is a surname, likely of German origin, that serves as a variant spelling of the name Wiesner.
-
C.
Weidach
Weidach is a locality or district that forms part of the municipality of Blaustein in the state of Baden-Württemberg, Germany.
-
D.
Appenweier
Appenweier is a municipality in southwestern Germany’s Baden-Württemberg region, situated within the Ortenau district near the Rhine and the French border.
-
E.
Pitztal
Pitztal is a valley in the Austrian Tyrol known for its high alpine scenery, glacier skiing, and access to prominent peaks in the Ötztal 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_69c687ed8a9c81908bb671717cb192ef |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af7fc054819099a2e58cefd8fed7 |
completed | March 27, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e44b251481909dca5ff82e1dbf0f |
completed | March 27, 2026, 8:10 p.m. |
| NEDg | Description generation | batch_69c6e52ba51c81908439acc1a4af9d6e |
completed | March 27, 2026, 8:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6e5b6e6f48190a813fcd1473be4e1 |
completed | March 27, 2026, 8:16 p.m. |
Created at: March 27, 2026, 1:58 p.m.