Triple
T8848435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schorndorf |
E210568
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Oberberken
Oberberken is a village-sized district of the town of Schorndorf in the German state of Baden-Württemberg.
|
E761177
|
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: Oberberken | Statement: [Schorndorf, hasSubdivision, Oberberken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oberberken Context triple: [Schorndorf, hasSubdivision, Oberberken]
-
A.
Oberbipp
Oberbipp is a municipality in the canton of Bern in Switzerland, located in the Oberaargau region at the southern foot of the Jura Mountains.
-
B.
Niederbipp
Niederbipp is a municipality in the canton of Solothurn in northwestern Switzerland, situated in the Oberaargau region near the Jura Mountains.
-
C.
Oberbachem
Oberbachem is a village-level district within the municipality of Wachtberg in the Rhein-Sieg-Kreis of North Rhine-Westphalia, Germany.
-
D.
Kesswil
Kesswil is a small Swiss village on the shores of Lake Constance, best known as the birthplace of the influential psychiatrist and psychoanalyst Carl Gustav Jung.
-
E.
Bremgarten
Bremgarten is a historic Swiss town in the canton of Aargau, known for its well-preserved medieval old town and scenic riverside setting.
- 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: Oberberken Triple: [Schorndorf, hasSubdivision, Oberberken]
Generated description
Oberberken is a village-sized district of the town of Schorndorf in the German state of Baden-Württemberg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oberberken Target entity description: Oberberken is a village-sized district of the town of Schorndorf in the German state of Baden-Württemberg.
-
A.
Oberbipp
Oberbipp is a municipality in the canton of Bern in Switzerland, located in the Oberaargau region at the southern foot of the Jura Mountains.
-
B.
Niederbipp
Niederbipp is a municipality in the canton of Solothurn in northwestern Switzerland, situated in the Oberaargau region near the Jura Mountains.
-
C.
Oberbachem
Oberbachem is a village-level district within the municipality of Wachtberg in the Rhein-Sieg-Kreis of North Rhine-Westphalia, Germany.
-
D.
Kesswil
Kesswil is a small Swiss village on the shores of Lake Constance, best known as the birthplace of the influential psychiatrist and psychoanalyst Carl Gustav Jung.
-
E.
Bremgarten
Bremgarten is a historic Swiss town in the canton of Aargau, known for its well-preserved medieval old town and scenic riverside setting.
- 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_69ca838967bc8190b46c3c80a2887ea4 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60aa6db0819097c3257499200afc |
completed | April 1, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf89c6788881908d6f5c49434b556d |
completed | April 3, 2026, 9:35 a.m. |
| NEDg | Description generation | batch_69cf8ab7da348190b423f0768fe9dc1a |
completed | April 3, 2026, 9:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf8bd252a4819098891bbb67baf897 |
completed | April 3, 2026, 9:43 a.m. |
Created at: March 30, 2026, 6:49 p.m.