Triple
T16561048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calw district |
E402337
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Neuweiler
Neuweiler is a small municipality in the Black Forest region of southwestern Germany, known for its rural character and forested landscapes.
|
E1225404
|
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: Neuweiler | Statement: [Calw district, containsTown, Neuweiler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neuweiler Context triple: [Calw district, containsTown, Neuweiler]
-
A.
Baesweiler
Baesweiler is a small town in western Germany’s North Rhine-Westphalia, situated near the city of Aachen and known for its historical ties to coal mining and regional industry.
-
B.
Flaxweiler
Flaxweiler is a small rural commune in eastern Luxembourg known for its agricultural landscape and proximity to the Moselle wine region.
-
C.
Gnannenweiler
Gnannenweiler is a small village in the municipality of Steinheim am Albuch in the Heidenheim district of Baden-Württemberg, Germany.
-
D.
Lommersweiler
Lommersweiler is a village and municipal section of the town of St. Vith in the German-speaking Community of eastern Belgium.
-
E.
Bodersweier
Bodersweier is a village and district of the town of Kehl in the Ortenaukreis region of Baden-Württemberg, Germany.
- 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: Neuweiler Triple: [Calw district, containsTown, Neuweiler]
Generated description
Neuweiler is a small municipality in the Black Forest region of southwestern Germany, known for its rural character and forested landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Neuweiler Target entity description: Neuweiler is a small municipality in the Black Forest region of southwestern Germany, known for its rural character and forested landscapes.
-
A.
Baesweiler
Baesweiler is a small town in western Germany’s North Rhine-Westphalia, situated near the city of Aachen and known for its historical ties to coal mining and regional industry.
-
B.
Flaxweiler
Flaxweiler is a small rural commune in eastern Luxembourg known for its agricultural landscape and proximity to the Moselle wine region.
-
C.
Gnannenweiler
Gnannenweiler is a small village in the municipality of Steinheim am Albuch in the Heidenheim district of Baden-Württemberg, Germany.
-
D.
Lommersweiler
Lommersweiler is a village and municipal section of the town of St. Vith in the German-speaking Community of eastern Belgium.
-
E.
Bodersweier
Bodersweier is a village and district of the town of Kehl in the Ortenaukreis region of Baden-Württemberg, Germany.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3576d88288190b33543bea4706a36 |
completed | April 18, 2026, 10:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084ae0fb08190b809cd26b2e413aa |
completed | May 10, 2026, 1:14 p.m. |
| NEDg | Description generation | batch_6a00853af11881908e0e61fb352e2e87 |
completed | May 10, 2026, 1:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0085f2fd2881908b31bd57790acb74 |
completed | May 10, 2026, 1:19 p.m. |
Created at: April 10, 2026, 5:15 a.m.