Triple
T9440808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Augsburg district |
E227639
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Nordendorf
Nordendorf is a small municipality in Bavaria, Germany, situated within the Augsburg district.
|
E875100
|
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: Nordendorf | Statement: [Augsburg district, contains, Nordendorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nordendorf Context triple: [Augsburg district, contains, Nordendorf]
-
A.
Neuendorf
Neuendorf is a small village on the Baltic Sea island of Hiddensee in Germany, known for its traditional thatched houses and maritime character.
-
B.
Nauendorf
Nauendorf is a village in the German state of Saxony-Anhalt that forms part of the town of Wettin-Löbejün.
-
C.
Westendorf
Westendorf is a popular Austrian alpine village known for its skiing, hiking, and picturesque mountain scenery.
-
D.
Dierdorf
Dierdorf is a surname most prominently associated with former American football player and sportscaster Dan Dierdorf.
-
E.
Hademstorf
Hademstorf is a small municipality in Lower Saxony, Germany, situated in the Heidekreis district.
- 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: Nordendorf Triple: [Augsburg district, contains, Nordendorf]
Generated description
Nordendorf is a small municipality in Bavaria, Germany, situated within the Augsburg district.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nordendorf Target entity description: Nordendorf is a small municipality in Bavaria, Germany, situated within the Augsburg district.
-
A.
Neuendorf
Neuendorf is a small village on the Baltic Sea island of Hiddensee in Germany, known for its traditional thatched houses and maritime character.
-
B.
Nauendorf
Nauendorf is a village in the German state of Saxony-Anhalt that forms part of the town of Wettin-Löbejün.
-
C.
Westendorf
Westendorf is a popular Austrian alpine village known for its skiing, hiking, and picturesque mountain scenery.
-
D.
Dierdorf
Dierdorf is a surname most prominently associated with former American football player and sportscaster Dan Dierdorf.
-
E.
Hademstorf
Hademstorf is a small municipality in Lower Saxony, Germany, situated in the Heidekreis district.
- 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_69ca843884488190ad6cbe0153088234 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7ee4f4a08190ada5ee14fec2b822 |
completed | April 1, 2026, 8:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96af89e48819093a6c149ac988391 |
completed | April 10, 2026, 9:26 p.m. |
| NEDg | Description generation | batch_69d96d85f9648190a43c8c924f5139e3 |
completed | April 10, 2026, 9:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d96e1a36688190b97ced745bc6a30d |
completed | April 10, 2026, 9:39 p.m. |
Created at: March 30, 2026, 7:50 p.m.