Triple
T17822265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jagst |
E445014
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
Ellwangen
Ellwangen is a historic town in the German state of Baden-Württemberg, known for its well-preserved old town, baroque basilica, and former prince-provost residence.
|
E1304018
|
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: Ellwangen | Statement: [Jagst, flowsThrough, Ellwangen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ellwangen Context triple: [Jagst, flowsThrough, Ellwangen]
-
A.
Wehringen
Wehringen is a small municipality in Bavaria, Germany, situated in the region surrounding the city of Augsburg.
-
B.
Feuchtwangen
Feuchtwangen is a historic town in Bavaria, Germany, known for its medieval architecture and location along the Romantic Road.
-
C.
Lautlingen
Lautlingen is a village in the Zollernalb district of Baden-Württemberg, Germany, now incorporated as a district of the town of Albstadt.
-
D.
Wolfertschwenden
Wolfertschwenden is a small municipality in the Bavarian region of southern Germany, known for its rural character and proximity to the Allgäu area.
-
E.
Gerlachsheim
Gerlachsheim is a district of the town Lauda-Königshofen in the Main-Tauber-Kreis region of Baden-Württemberg, 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: Ellwangen Triple: [Jagst, flowsThrough, Ellwangen]
Generated description
Ellwangen is a historic town in the German state of Baden-Württemberg, known for its well-preserved old town, baroque basilica, and former prince-provost residence.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ellwangen Target entity description: Ellwangen is a historic town in the German state of Baden-Württemberg, known for its well-preserved old town, baroque basilica, and former prince-provost residence.
-
A.
Wehringen
Wehringen is a small municipality in Bavaria, Germany, situated in the region surrounding the city of Augsburg.
-
B.
Feuchtwangen
Feuchtwangen is a historic town in Bavaria, Germany, known for its medieval architecture and location along the Romantic Road.
-
C.
Lautlingen
Lautlingen is a village in the Zollernalb district of Baden-Württemberg, Germany, now incorporated as a district of the town of Albstadt.
-
D.
Wolfertschwenden
Wolfertschwenden is a small municipality in the Bavarian region of southern Germany, known for its rural character and proximity to the Allgäu area.
-
E.
Gerlachsheim
Gerlachsheim is a district of the town Lauda-Königshofen in the Main-Tauber-Kreis region of Baden-Württemberg, 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48911b660819097fc7ea94665a02a |
completed | April 19, 2026, 7:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a035652e08c8190aa1a4cc6995f603d |
completed | May 12, 2026, 4:33 p.m. |
| NEDg | Description generation | batch_6a03581a400c819091bbad0a45b482a0 |
completed | May 12, 2026, 4:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03590c44b8819099bbce039ddec07c |
completed | May 12, 2026, 4:45 p.m. |
Created at: April 10, 2026, 10:15 a.m.