Triple
T13754652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donau-Ries |
E330443
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Fünfstetten
Fünfstetten is a small rural municipality in the Donau-Ries district of Bavaria in southern Germany.
|
E1060514
|
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: Fünfstetten | Statement: [Donau-Ries, containsMunicipality, Fünfstetten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fünfstetten Context triple: [Donau-Ries, containsMunicipality, Fünfstetten]
-
A.
Hohe Acht
Hohe Acht is the highest peak in Germany’s Eifel region, known for its volcanic origins and panoramic views.
-
B.
Bad Grönenbach
Bad Grönenbach is a spa town in the Bavarian Allgäu region of southern Germany, known for its health resorts and picturesque rural surroundings.
-
C.
Furth im Wald
Furth im Wald is a small Bavarian town in southeastern Germany, known for its traditional Drachenstich (dragon-slaying) festival and picturesque setting near the Czech border.
-
D.
Bad Lippspringe
Bad Lippspringe is a spa town in North Rhine-Westphalia, Germany, known for its therapeutic springs and health resorts.
-
E.
Schaufling
Schaufling is a small municipality in the Bavarian district of Regen in southeastern Germany, known for its rural setting in the Bavarian Forest region.
- 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: Fünfstetten Triple: [Donau-Ries, containsMunicipality, Fünfstetten]
Generated description
Fünfstetten is a small rural municipality in the Donau-Ries district of Bavaria in southern Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fünfstetten Target entity description: Fünfstetten is a small rural municipality in the Donau-Ries district of Bavaria in southern Germany.
-
A.
Hohe Acht
Hohe Acht is the highest peak in Germany’s Eifel region, known for its volcanic origins and panoramic views.
-
B.
Bad Grönenbach
Bad Grönenbach is a spa town in the Bavarian Allgäu region of southern Germany, known for its health resorts and picturesque rural surroundings.
-
C.
Furth im Wald
Furth im Wald is a small Bavarian town in southeastern Germany, known for its traditional Drachenstich (dragon-slaying) festival and picturesque setting near the Czech border.
-
D.
Bad Lippspringe
Bad Lippspringe is a spa town in North Rhine-Westphalia, Germany, known for its therapeutic springs and health resorts.
-
E.
Schaufling
Schaufling is a small municipality in the Bavarian district of Regen in southeastern Germany, known for its rural setting in the Bavarian Forest region.
- 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02179c948190a652cc8c586e418f |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a859e6748190aa1899830a02b710 |
completed | May 3, 2026, 7:56 p.m. |
| NEDg | Description generation | batch_69f7a91deb3c8190ad2be7f1ca99ac9b |
completed | May 3, 2026, 7:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7ad51c6808190afa80fc3622399bf |
completed | May 3, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:09 p.m.