Triple
T18736000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herrenberg |
E458163
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Oberjesingen
Oberjesingen is a village and district of the town of Herrenberg in the German state of Baden-Württemberg.
|
E1353065
|
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: Oberjesingen | Statement: [Herrenberg, hasSubdivision, Oberjesingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oberjesingen Context triple: [Herrenberg, hasSubdivision, Oberjesingen]
-
A.
Bötzingen
Bötzingen is a municipality in southwestern Germany’s Baden-Württemberg region, situated near Freiburg in the Breisgau wine-growing area.
-
B.
Gechingen
Gechingen is a small municipality in the German state of Baden-Württemberg, situated in the northern Black Forest region.
-
C.
Ettlingen
Ettlingen is a historic town in the state of Baden-Württemberg in southwestern Germany, known for its well-preserved old town and proximity to the city of Karlsruhe.
-
D.
Öhringen
Öhringen is a historic town in the German state of Baden-Württemberg, known for its medieval architecture and role as an economic and cultural center in the Hohenlohe region.
-
E.
Effingen
Effingen is a small Swiss village and former municipality in the canton of Aargau, known for its rural character and location near the Jura Mountains.
- 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: Oberjesingen Triple: [Herrenberg, hasSubdivision, Oberjesingen]
Generated description
Oberjesingen is a village and district of the town of Herrenberg in the German state of Baden-Württemberg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oberjesingen Target entity description: Oberjesingen is a village and district of the town of Herrenberg in the German state of Baden-Württemberg.
-
A.
Bötzingen
Bötzingen is a municipality in southwestern Germany’s Baden-Württemberg region, situated near Freiburg in the Breisgau wine-growing area.
-
B.
Gechingen
Gechingen is a small municipality in the German state of Baden-Württemberg, situated in the northern Black Forest region.
-
C.
Ettlingen
Ettlingen is a historic town in the state of Baden-Württemberg in southwestern Germany, known for its well-preserved old town and proximity to the city of Karlsruhe.
-
D.
Öhringen
Öhringen is a historic town in the German state of Baden-Württemberg, known for its medieval architecture and role as an economic and cultural center in the Hohenlohe region.
-
E.
Effingen
Effingen is a small Swiss village and former municipality in the canton of Aargau, known for its rural character and location near the Jura Mountains.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56d7ae10081908bc6857d1d147eef |
completed | April 20, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05b43fcff4819095791bec738a6711 |
completed | May 14, 2026, 11:38 a.m. |
| NEDg | Description generation | batch_6a05b580f35c8190b3ed065df94f5545 |
completed | May 14, 2026, 11:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05b5f363f481908cca5485a2876969 |
completed | May 14, 2026, 11:45 a.m. |
Created at: April 10, 2026, 11:51 a.m.