Triple
T8017762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Göppingen district |
E186661
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Deggingen
Deggingen is a small municipality in the German state of Baden-Württemberg, situated in the Swabian Jura and known for its scenic valley setting along the Fils River.
|
E710134
|
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: Deggingen | Statement: [Göppingen district, containsMunicipality, Deggingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deggingen Context triple: [Göppingen district, containsMunicipality, Deggingen]
-
A.
Gernsbach
Gernsbach is a historic town in southwestern Germany’s Black Forest region, known for its medieval old town and picturesque setting along the Murg River.
-
B.
Bissingen
Bissingen is a suburb of the town of Herbrechtingen in the state of Baden-Württemberg, Germany.
-
C.
Schwenningen
Schwenningen is a district of Villingen-Schwenningen in Baden-Württemberg, Germany, known for its ice hockey tradition and as the home of the Schwenninger Wild Wings.
-
D.
Emsbach
Emsbach is a small river in Germany that flows through Hesse before joining the Lahn.
-
E.
Winzingen
Winzingen is a district of the town Neustadt an der Weinstraße in the Rhineland-Palatinate wine-growing region of southwestern 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: Deggingen Triple: [Göppingen district, containsMunicipality, Deggingen]
Generated description
Deggingen is a small municipality in the German state of Baden-Württemberg, situated in the Swabian Jura and known for its scenic valley setting along the Fils River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Deggingen Target entity description: Deggingen is a small municipality in the German state of Baden-Württemberg, situated in the Swabian Jura and known for its scenic valley setting along the Fils River.
-
A.
Gernsbach
Gernsbach is a historic town in southwestern Germany’s Black Forest region, known for its medieval old town and picturesque setting along the Murg River.
-
B.
Bissingen
Bissingen is a suburb of the town of Herbrechtingen in the state of Baden-Württemberg, Germany.
-
C.
Schwenningen
Schwenningen is a district of Villingen-Schwenningen in Baden-Württemberg, Germany, known for its ice hockey tradition and as the home of the Schwenninger Wild Wings.
-
D.
Emsbach
Emsbach is a small river in Germany that flows through Hesse before joining the Lahn.
-
E.
Winzingen
Winzingen is a district of the town Neustadt an der Weinstraße in the Rhineland-Palatinate wine-growing region of southwestern 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_69ca82ac7fc081909b1398cf025423af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3df4f1b8819089a8b67f136bce9a |
completed | March 31, 2026, 3:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63c4937c8190999a156299299ab3 |
completed | April 1, 2026, 12:16 a.m. |
| NEDg | Description generation | batch_69cc67e8eb78819093fde98c7b27a0c8 |
completed | April 1, 2026, 12:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc6946aa5481908d682957b818a3e9 |
completed | April 1, 2026, 12:39 a.m. |
Created at: March 30, 2026, 5:20 p.m.