Triple
T13754647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donau-Ries |
E330443
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Tagmersheim
Tagmersheim is a small municipality in the Donau-Ries district of Bavaria in southern Germany.
|
E1072515
|
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: Tagmersheim | Statement: [Donau-Ries, containsMunicipality, Tagmersheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tagmersheim Context triple: [Donau-Ries, containsMunicipality, Tagmersheim]
-
A.
Freiolsheim
Freiolsheim is a village and district of the town of Gaggenau in the Rastatt district of Baden-Württemberg, Germany.
-
B.
Willanzheim
Willanzheim is a small municipality in the Kitzingen district of Bavaria, Germany, known for its rural character and Franconian wine-growing tradition.
-
C.
Igersheim
Igersheim is a small municipality in the Main-Tauber district of Baden-Württemberg in southern Germany.
-
D.
Türkheim
Türkheim is a market town in the Bavarian region of Swabia in southern Germany, known for its historic center and location in the Unterallgäu district.
-
E.
Mergentheim
Mergentheim is a historic town in southern Germany best known as the former main seat of the Teutonic Order and for its well-preserved medieval and baroque architecture.
- 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: Tagmersheim Triple: [Donau-Ries, containsMunicipality, Tagmersheim]
Generated description
Tagmersheim is a small municipality in the Donau-Ries district of Bavaria in southern Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tagmersheim Target entity description: Tagmersheim is a small municipality in the Donau-Ries district of Bavaria in southern Germany.
-
A.
Freiolsheim
Freiolsheim is a village and district of the town of Gaggenau in the Rastatt district of Baden-Württemberg, Germany.
-
B.
Willanzheim
Willanzheim is a small municipality in the Kitzingen district of Bavaria, Germany, known for its rural character and Franconian wine-growing tradition.
-
C.
Igersheim
Igersheim is a small municipality in the Main-Tauber district of Baden-Württemberg in southern Germany.
-
D.
Türkheim
Türkheim is a market town in the Bavarian region of Swabia in southern Germany, known for its historic center and location in the Unterallgäu district.
-
E.
Mergentheim
Mergentheim is a historic town in southern Germany best known as the former main seat of the Teutonic Order and for its well-preserved medieval and baroque architecture.
- 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_69fba1b661e4819087bac0cd84489baa |
completed | May 6, 2026, 8:16 p.m. |
| NEDg | Description generation | batch_69fba7f116608190b664d0dc8027af38 |
completed | May 6, 2026, 8:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fba8fe11c881908662d8e8e1720ea4 |
completed | May 6, 2026, 8:47 p.m. |
Created at: April 9, 2026, 10:09 p.m.