Triple
T15233898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Möhringen |
E364072
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object |
Sillenbuch
Sillenbuch is a residential district in the southeast of Stuttgart, Germany, known for its green surroundings and suburban character.
|
E1144303
|
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: Sillenbuch | Statement: [Möhringen, adjacentTo, Sillenbuch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sillenbuch Context triple: [Möhringen, adjacentTo, Sillenbuch]
-
A.
Schönenbuch
Schönenbuch is a small municipality in the canton of Basel-Landschaft in northwestern Switzerland, situated near the French border and the city of Basel.
-
B.
Ahrensbök
Ahrensbök is a small town in the district of Ostholstein in Schleswig-Holstein, northern Germany.
-
C.
Ouvrage Oberheid
Ouvrage Oberheid is a small Maginot Line fortification in northeastern France that formed part of the defensive network protecting the Thionville sector before and during World War II.
-
D.
Söl'ring
Söl'ring is a variety of the North Frisian language traditionally spoken on the German island of Sylt.
-
E.
Hinkelsteine
Hinkelsteine are large, unforgiving concrete blocks lining parts of the Rallye Deutschland stages, notorious for severely damaging cars that stray off the racing line.
- 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: Sillenbuch Triple: [Möhringen, adjacentTo, Sillenbuch]
Generated description
Sillenbuch is a residential district in the southeast of Stuttgart, Germany, known for its green surroundings and suburban character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sillenbuch Target entity description: Sillenbuch is a residential district in the southeast of Stuttgart, Germany, known for its green surroundings and suburban character.
-
A.
Schönenbuch
Schönenbuch is a small municipality in the canton of Basel-Landschaft in northwestern Switzerland, situated near the French border and the city of Basel.
-
B.
Ahrensbök
Ahrensbök is a small town in the district of Ostholstein in Schleswig-Holstein, northern Germany.
-
C.
Ouvrage Oberheid
Ouvrage Oberheid is a small Maginot Line fortification in northeastern France that formed part of the defensive network protecting the Thionville sector before and during World War II.
-
D.
Söl'ring
Söl'ring is a variety of the North Frisian language traditionally spoken on the German island of Sylt.
-
E.
Hinkelsteine
Hinkelsteine are large, unforgiving concrete blocks lining parts of the Rallye Deutschland stages, notorious for severely damaging cars that stray off the racing line.
- 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.