Triple
T19446898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eugendorf |
E486501
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Kraiwiesen
Kraiwiesen is a locality or settlement that forms part of the municipality of Eugendorf in the Austrian state of Salzburg.
|
E1383066
|
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: Kraiwiesen | Statement: [Eugendorf, hasSubdivision, Kraiwiesen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kraiwiesen Context triple: [Eugendorf, hasSubdivision, Kraiwiesen]
-
A.
Krauchenwies
Krauchenwies is a municipality in the Sigmaringen district of Baden-Württemberg in southwestern Germany, known historically as part of the Hohenzollern region.
-
B.
Kranichfeld
Kranichfeld is a small historic town in the German state of Thuringia, known for its castles and scenic location in the Ilm valley.
-
C.
Buttenwiesen
Buttenwiesen is a municipality in the Bavarian region of Swabia in southern Germany, known for its rural character and location along the Danube River.
-
D.
Wiesen
Wiesen is a Swiss mountain village in the canton of Graubünden, known for its scenic alpine setting and proximity to the Landwasser River and the famous Landwasser Viaduct.
-
E.
Wiesen
Wiesen is a small locality that forms one of the subdivisions of the town of Lichtenfels in 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: Kraiwiesen Triple: [Eugendorf, hasSubdivision, Kraiwiesen]
Generated description
Kraiwiesen is a locality or settlement that forms part of the municipality of Eugendorf in the Austrian state of Salzburg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kraiwiesen Target entity description: Kraiwiesen is a locality or settlement that forms part of the municipality of Eugendorf in the Austrian state of Salzburg.
-
A.
Krauchenwies
Krauchenwies is a municipality in the Sigmaringen district of Baden-Württemberg in southwestern Germany, known historically as part of the Hohenzollern region.
-
B.
Kranichfeld
Kranichfeld is a small historic town in the German state of Thuringia, known for its castles and scenic location in the Ilm valley.
-
C.
Buttenwiesen
Buttenwiesen is a municipality in the Bavarian region of Swabia in southern Germany, known for its rural character and location along the Danube River.
-
D.
Wiesen
Wiesen is a Swiss mountain village in the canton of Graubünden, known for its scenic alpine setting and proximity to the Landwasser River and the famous Landwasser Viaduct.
-
E.
Wiesen
Wiesen is a small locality that forms one of the subdivisions of the town of Lichtenfels in 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6338a22608190bb31a1690ca0dab6 |
completed | April 20, 2026, 2:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07576b51e08190b70519021918b280 |
completed | May 15, 2026, 5:27 p.m. |
| NEDg | Description generation | batch_6a07588550588190963ebb3c742d4d3f |
completed | May 15, 2026, 5:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07592c42488190b140e501dd9d4ae1 |
completed | May 15, 2026, 5:34 p.m. |
Created at: April 10, 2026, 1:38 p.m.