Triple
T15233897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Möhringen |
E364072
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object |
Plieningen
Plieningen is a district in the south of Stuttgart, Germany, known for its mix of rural character, historic village center, and proximity to Stuttgart Airport and the university campus in Vaihingen.
|
E1144302
|
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: Plieningen | Statement: [Möhringen, adjacentTo, Plieningen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Plieningen Context triple: [Möhringen, adjacentTo, Plieningen]
-
A.
Plön
Plön is a small lakeside town in northern Germany known for its historic castle and scenic location in the Holstein Switzerland region.
-
B.
Wedel
Wedel is a town on the outskirts of Hamburg, Germany, known for being a suburban terminus of the city's S-Bahn network.
-
C.
Seelingstädt
Seelingstädt is a village and subdivision of the town of Trebsen in the German state of Saxony.
-
D.
Plüderhausen
Plüderhausen is a municipality in the German state of Baden-Württemberg, located in the Rems Valley east of Stuttgart.
-
E.
Persingen
Persingen is a small village in the Dutch province of Gelderland, often noted as one of the smallest villages in the Netherlands.
- 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: Plieningen Triple: [Möhringen, adjacentTo, Plieningen]
Generated description
Plieningen is a district in the south of Stuttgart, Germany, known for its mix of rural character, historic village center, and proximity to Stuttgart Airport and the university campus in Vaihingen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Plieningen Target entity description: Plieningen is a district in the south of Stuttgart, Germany, known for its mix of rural character, historic village center, and proximity to Stuttgart Airport and the university campus in Vaihingen.
-
A.
Plön
Plön is a small lakeside town in northern Germany known for its historic castle and scenic location in the Holstein Switzerland region.
-
B.
Wedel
Wedel is a town on the outskirts of Hamburg, Germany, known for being a suburban terminus of the city's S-Bahn network.
-
C.
Seelingstädt
Seelingstädt is a village and subdivision of the town of Trebsen in the German state of Saxony.
-
D.
Plüderhausen
Plüderhausen is a municipality in the German state of Baden-Württemberg, located in the Rems Valley east of Stuttgart.
-
E.
Persingen
Persingen is a small village in the Dutch province of Gelderland, often noted as one of the smallest villages in the Netherlands.
- 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007d7237081908dc17900ee66b64f |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd3dd5a081909a1a7fceda648c29 |
completed | May 9, 2026, 7:07 a.m. |
| NEDg | Description generation | batch_69fede8eed2c8190adb45306a1ec0faa |
completed | May 9, 2026, 7:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fedef546708190bdeedd2c61fdbc86 |
completed | May 9, 2026, 7:15 a.m. |
Created at: April 10, 2026, 3:12 a.m.