Triple
T20729944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Freudenstadt (district) |
E509545
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Dietersweiler
Dietersweiler is a village and municipal district of the town of Freudenstadt in the Black Forest region of Baden-Württemberg, Germany.
|
E1449419
|
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: Dietersweiler | Statement: [Freudenstadt (district), hasMunicipality, Dietersweiler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dietersweiler Context triple: [Freudenstadt (district), hasMunicipality, Dietersweiler]
-
A.
Lommersweiler
Lommersweiler is a village and municipal section of the town of St. Vith in the German-speaking Community of eastern Belgium.
-
B.
Gnannenweiler
Gnannenweiler is a small village in the municipality of Steinheim am Albuch in the Heidenheim district of Baden-Württemberg, Germany.
-
C.
Friedenweiler
Friedenweiler is a small municipality in southwestern Germany’s Black Forest region, known for its forested landscapes and tranquil rural character.
-
D.
Selgetsweiler
Selgetsweiler is a small village in the municipality of Hohenfels in the Konstanz district of Baden-Württemberg, Germany.
-
E.
Mönchweiler
Mönchweiler is a small municipality in the Schwarzwald-Baar district of Baden-Württemberg in southwestern Germany, situated near the Black Forest.
- 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: Dietersweiler Triple: [Freudenstadt (district), hasMunicipality, Dietersweiler]
Generated description
Dietersweiler is a village and municipal district of the town of Freudenstadt in the Black Forest region of Baden-Württemberg, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dietersweiler Target entity description: Dietersweiler is a village and municipal district of the town of Freudenstadt in the Black Forest region of Baden-Württemberg, Germany.
-
A.
Lommersweiler
Lommersweiler is a village and municipal section of the town of St. Vith in the German-speaking Community of eastern Belgium.
-
B.
Gnannenweiler
Gnannenweiler is a small village in the municipality of Steinheim am Albuch in the Heidenheim district of Baden-Württemberg, Germany.
-
C.
Friedenweiler
Friedenweiler is a small municipality in southwestern Germany’s Black Forest region, known for its forested landscapes and tranquil rural character.
-
D.
Selgetsweiler
Selgetsweiler is a small village in the municipality of Hohenfels in the Konstanz district of Baden-Württemberg, Germany.
-
E.
Mönchweiler
Mönchweiler is a small municipality in the Schwarzwald-Baar district of Baden-Württemberg in southwestern Germany, situated near the Black Forest.
- 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_69e0b4c589c08190834fb5d86d0efa2b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1ec9820819093a07f90503686b2 |
completed | April 21, 2026, 12:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08ef7be0d08190826f776b65fea283 |
completed | May 16, 2026, 10:28 p.m. |
| NEDg | Description generation | batch_6a08f158ebb88190ae15cc2e31fc2082 |
completed | May 16, 2026, 10:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08f1db89bc81908152904adf96b892 |
completed | May 16, 2026, 10:38 p.m. |
Created at: April 16, 2026, 12:30 p.m.