Triple
T15473594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Böblingen district |
E376726
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Aidlingen
Aidlingen is a small municipality in the German state of Baden-Württemberg, located southwest of Stuttgart amid the scenic landscapes of the Böblingen region.
|
E1189870
|
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: Aidlingen | Statement: [Böblingen district, containsMunicipality, Aidlingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aidlingen Context triple: [Böblingen district, containsMunicipality, Aidlingen]
-
A.
Adelsried
Adelsried is a small municipality in the Swabian region of Bavaria in southern Germany.
-
B.
Riedlingen
Riedlingen is a small historic town in the state of Baden-Württemberg in southern Germany, known for its well-preserved medieval old town on the Danube River.
-
C.
Gerlafingen
Gerlafingen is a municipality in the canton of Solothurn in Switzerland, known historically for its steel industry and residential character.
-
D.
Friedlingen
Friedlingen is a district of the German town Weil am Rhein, located in the far southwest of Baden-Württemberg near the borders with France and Switzerland.
-
E.
Waltershof
Waltershof is an industrial and port district of Hamburg, Germany, located within the borough of Hamburg-Mitte.
- 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: Aidlingen Triple: [Böblingen district, containsMunicipality, Aidlingen]
Generated description
Aidlingen is a small municipality in the German state of Baden-Württemberg, located southwest of Stuttgart amid the scenic landscapes of the Böblingen region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aidlingen Target entity description: Aidlingen is a small municipality in the German state of Baden-Württemberg, located southwest of Stuttgart amid the scenic landscapes of the Böblingen region.
-
A.
Adelsried
Adelsried is a small municipality in the Swabian region of Bavaria in southern Germany.
-
B.
Riedlingen
Riedlingen is a small historic town in the state of Baden-Württemberg in southern Germany, known for its well-preserved medieval old town on the Danube River.
-
C.
Gerlafingen
Gerlafingen is a municipality in the canton of Solothurn in Switzerland, known historically for its steel industry and residential character.
-
D.
Friedlingen
Friedlingen is a district of the German town Weil am Rhein, located in the far southwest of Baden-Württemberg near the borders with France and Switzerland.
-
E.
Waltershof
Waltershof is an industrial and port district of Hamburg, Germany, located within the borough of Hamburg-Mitte.
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f6e859481909c3d08343b7ad27c |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf0a12e081908d7d2ae7c9774f94 |
completed | May 10, 2026, 12:19 a.m. |
| NEDg | Description generation | batch_69ffd0adc58881908488e3237159ffab |
completed | May 10, 2026, 12:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffd1376e5081908920ecd3a4744662 |
completed | May 10, 2026, 12:28 a.m. |
Created at: April 10, 2026, 3:34 a.m.