Triple
T8848438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schorndorf |
E210568
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Haubersbronn
Haubersbronn is a district of the town of Schorndorf in the German state of Baden-Württemberg.
|
E761178
|
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: Haubersbronn | Statement: [Schorndorf, hasSubdivision, Haubersbronn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haubersbronn Context triple: [Schorndorf, hasSubdivision, Haubersbronn]
-
A.
Moosbronn
Moosbronn is a small district and spa village of Gaggenau in the northern Black Forest region of Baden-Württemberg, Germany, known for its scenic surroundings and pilgrimage church.
-
B.
Emsbach
Emsbach is a small river in Germany that flows through Hesse before joining the Lahn.
-
C.
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.
-
D.
Bräunlingen
Bräunlingen is a small historic town in the Black Forest region of Baden-Württemberg, Germany, known for its picturesque setting and traditional architecture.
-
E.
Herrenberg
Herrenberg is a historic town in the German state of Baden-Württemberg, known for its well-preserved medieval center and proximity to the Schönbuch Nature Park.
- 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: Haubersbronn Triple: [Schorndorf, hasSubdivision, Haubersbronn]
Generated description
Haubersbronn is a 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: Haubersbronn Target entity description: Haubersbronn is a district of the town of Schorndorf in the German state of Baden-Württemberg.
-
A.
Moosbronn
Moosbronn is a small district and spa village of Gaggenau in the northern Black Forest region of Baden-Württemberg, Germany, known for its scenic surroundings and pilgrimage church.
-
B.
Emsbach
Emsbach is a small river in Germany that flows through Hesse before joining the Lahn.
-
C.
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.
-
D.
Bräunlingen
Bräunlingen is a small historic town in the Black Forest region of Baden-Württemberg, Germany, known for its picturesque setting and traditional architecture.
-
E.
Herrenberg
Herrenberg is a historic town in the German state of Baden-Württemberg, known for its well-preserved medieval center and proximity to the Schönbuch Nature Park.
- 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.