Triple
T5027007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Konstanz (district) |
E113199
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Steißlingen
Steißlingen is a municipality in the district of Konstanz in the state of Baden-Württemberg in southern Germany.
|
E489572
|
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: Steißlingen | Statement: [Konstanz (district), hasMunicipality, Steißlingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steißlingen Context triple: [Konstanz (district), hasMunicipality, Steißlingen]
-
A.
Küsnacht
Küsnacht is a picturesque Swiss municipality on the shores of Lake Zurich, known for its affluent residential character and scenic lakeside setting.
-
B.
Stetten
Stetten is a locality within the town of Lichtenfels in the German state of Bavaria.
-
C.
Unterwallenstadt
Unterwallenstadt is a small locality that forms part of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
-
D.
Niederbühl
Niederbühl is a district of the town of Rastatt in the state of Baden-Württemberg in southwestern Germany.
-
E.
Nucingen
Nucingen is a powerful and unscrupulous banker in Balzac’s La Comédie humaine, emblematic of the corrupt financial elite of 19th-century Paris.
- 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: Steißlingen Triple: [Konstanz (district), hasMunicipality, Steißlingen]
Generated description
Steißlingen is a municipality in the district of Konstanz in the state of Baden-Württemberg in southern Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Steißlingen Target entity description: Steißlingen is a municipality in the district of Konstanz in the state of Baden-Württemberg in southern Germany.
-
A.
Küsnacht
Küsnacht is a picturesque Swiss municipality on the shores of Lake Zurich, known for its affluent residential character and scenic lakeside setting.
-
B.
Stetten
Stetten is a locality within the town of Lichtenfels in the German state of Bavaria.
-
C.
Unterwallenstadt
Unterwallenstadt is a small locality that forms part of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
-
D.
Niederbühl
Niederbühl is a district of the town of Rastatt in the state of Baden-Württemberg in southwestern Germany.
-
E.
Nucingen
Nucingen is a powerful and unscrupulous banker in Balzac’s La Comédie humaine, emblematic of the corrupt financial elite of 19th-century Paris.
- 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_69bd443775e48190a646ffbfc4334723 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd738c3aac81908fb6a5c70c97a394 |
completed | March 20, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea475eb3481909c5132b7f2d570cb |
completed | March 21, 2026, 2 p.m. |
| NEDg | Description generation | batch_69bea555c0548190a3be6d73f0319064 |
completed | March 21, 2026, 2:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bea5daac00819083d142a56fa1b5fe |
completed | March 21, 2026, 2:06 p.m. |
Created at: March 20, 2026, 1:36 p.m.