Triple
T17147787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ravensburg district |
E416136
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Weingarten
Weingarten is a town in southern Germany’s Upper Swabia region, known for its large Benedictine basilica and historic monastery complex.
|
E1252287
|
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: Weingarten | Statement: [Ravensburg district, containsTown, Weingarten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weingarten Context triple: [Ravensburg district, containsTown, Weingarten]
-
A.
Weingarten
Weingarten is a small locality within the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
-
B.
Löwenthal
Löwenthal is the maiden surname of Elsa Einstein, who was both the second wife and cousin of physicist Albert Einstein.
-
C.
Gemsberg
Gemsberg is a historic area or landmark located within the Old Town of Basel, Switzerland, known for its traditional urban character and medieval surroundings.
-
D.
Leventhal
Leventhal is a Jewish-origin surname borne by various notable individuals in fields such as law, academia, and the arts.
-
E.
Wilentz
Wilentz is a notable American family name associated with several prominent figures in law, politics, and academia.
- 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: Weingarten Triple: [Ravensburg district, containsTown, Weingarten]
Generated description
Weingarten is a town in southern Germany’s Upper Swabia region, known for its large Benedictine basilica and historic monastery complex.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Weingarten Target entity description: Weingarten is a town in southern Germany’s Upper Swabia region, known for its large Benedictine basilica and historic monastery complex.
-
A.
Weingarten
Weingarten is a small locality within the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
-
B.
Löwenthal
Löwenthal is the maiden surname of Elsa Einstein, who was both the second wife and cousin of physicist Albert Einstein.
-
C.
Gemsberg
Gemsberg is a historic area or landmark located within the Old Town of Basel, Switzerland, known for its traditional urban character and medieval surroundings.
-
D.
Leventhal
Leventhal is a Jewish-origin surname borne by various notable individuals in fields such as law, academia, and the arts.
-
E.
Wilentz
Wilentz is a notable American family name associated with several prominent figures in law, politics, and academia.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f404f0e88190b7ac9ac523fdc7da |
completed | April 18, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a014158ed8c8190adb3c03c8a114a59 |
completed | May 11, 2026, 2:39 a.m. |
| NEDg | Description generation | batch_6a01425d2c20819084c0fa3bd413ebfa |
completed | May 11, 2026, 2:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0142dbb6f48190a631a05c5bada0e4 |
completed | May 11, 2026, 2:45 a.m. |
Created at: April 10, 2026, 5:36 a.m.