Triple
T11421930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fellbach |
E270643
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Schmiden
Schmiden is a district of the town of Fellbach in the German state of Baden-Württemberg.
|
E994133
|
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: Schmiden | Statement: [Fellbach, hasSubdivision, Schmiden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schmiden Context triple: [Fellbach, hasSubdivision, Schmiden]
-
A.
Trostberg
Trostberg is a small Bavarian town in southeastern Germany known for its historic old town and chemical industry.
-
B.
Schambach
Schambach is a small river in Bavaria, Germany, that flows into the Altmühl as one of its tributaries.
-
C.
Meißenheim
Meißenheim is a small municipality in southwestern Germany’s Baden-Württemberg region, situated within the Ortenau district near the Rhine River.
-
D.
Schkeuditz
Schkeuditz is a town in the German state of Saxony, situated between Leipzig and Halle and known as an important regional transport hub.
-
E.
Hettstadt
Hettstadt is a small municipality in the Würzburg district of Bavaria, Germany, known for its rural character and proximity to the city of Würzburg.
- 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: Schmiden Triple: [Fellbach, hasSubdivision, Schmiden]
Generated description
Schmiden is a district of the town of Fellbach in the German state of Baden-Württemberg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schmiden Target entity description: Schmiden is a district of the town of Fellbach in the German state of Baden-Württemberg.
-
A.
Trostberg
Trostberg is a small Bavarian town in southeastern Germany known for its historic old town and chemical industry.
-
B.
Schambach
Schambach is a small river in Bavaria, Germany, that flows into the Altmühl as one of its tributaries.
-
C.
Meißenheim
Meißenheim is a small municipality in southwestern Germany’s Baden-Württemberg region, situated within the Ortenau district near the Rhine River.
-
D.
Schkeuditz
Schkeuditz is a town in the German state of Saxony, situated between Leipzig and Halle and known as an important regional transport hub.
-
E.
Hettstadt
Hettstadt is a small municipality in the Würzburg district of Bavaria, Germany, known for its rural character and proximity to the city of Würzburg.
- 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_69d6aaddeaa8819088b30ef7b50598c9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d801b357e88190ace56d36a945688f |
completed | April 9, 2026, 7:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f668479b188190ae720e77fbf6897f |
completed | May 2, 2026, 9:10 p.m. |
| NEDg | Description generation | batch_69f669527fe881909baeb84ccff506c8 |
completed | May 2, 2026, 9:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f669fe4bc48190adba50ad58b10c45 |
completed | May 2, 2026, 9:17 p.m. |
Created at: April 8, 2026, 9:34 p.m.