Triple
T6624497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schweinfurt region |
E149760
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Schonungen
Schonungen is a municipality in the Lower Franconia region of Bavaria, Germany, situated near the city of Schweinfurt along the Main River.
|
E599915
|
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: Schonungen | Statement: [Schweinfurt region, containsTown, Schonungen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schonungen Context triple: [Schweinfurt region, containsTown, Schonungen]
-
A.
Kehrsatz
Kehrsatz is a municipality in the canton of Bern, Switzerland, situated just south of the city of Bern within its metropolitan region.
-
B.
Udjebten
Udjebten was an ancient Egyptian queen of the Sixth Dynasty, likely one of the principal wives of Pharaoh Pepi II Neferkare.
-
C.
The Pleased
The Pleased was an indie rock band from San Francisco known for featuring harpist-singer-songwriter Joanna Newsom as a member early in her career.
-
D.
Sparnacien
Sparnacien is the French demonym for an inhabitant of the town of Épernay in the Champagne region.
-
E.
Heed
Heed is the fiercely loyal yet conflicted protagonist of Toni Morrison’s novel "Love," whose lifelong bond and rivalry with her friend Christine drive much of the story’s emotional and thematic tension.
- 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: Schonungen Triple: [Schweinfurt region, containsTown, Schonungen]
Generated description
Schonungen is a municipality in the Lower Franconia region of Bavaria, Germany, situated near the city of Schweinfurt along the Main River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schonungen Target entity description: Schonungen is a municipality in the Lower Franconia region of Bavaria, Germany, situated near the city of Schweinfurt along the Main River.
-
A.
Kehrsatz
Kehrsatz is a municipality in the canton of Bern, Switzerland, situated just south of the city of Bern within its metropolitan region.
-
B.
Udjebten
Udjebten was an ancient Egyptian queen of the Sixth Dynasty, likely one of the principal wives of Pharaoh Pepi II Neferkare.
-
C.
The Pleased
The Pleased was an indie rock band from San Francisco known for featuring harpist-singer-songwriter Joanna Newsom as a member early in her career.
-
D.
Sparnacien
Sparnacien is the French demonym for an inhabitant of the town of Épernay in the Champagne region.
-
E.
Heed
Heed is the fiercely loyal yet conflicted protagonist of Toni Morrison’s novel "Love," whose lifelong bond and rivalry with her friend Christine drive much of the story’s emotional and thematic tension.
- 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_69c687ed8a9c81908bb671717cb192ef |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af7fc054819099a2e58cefd8fed7 |
completed | March 27, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cbe690548190a771bb1ec8d3aacf |
completed | March 27, 2026, 6:26 p.m. |
| NEDg | Description generation | batch_69c6cd0a98908190a5725c49bad7589d |
completed | March 27, 2026, 6:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6cdcc10c08190aa98212bd17063a3 |
completed | March 27, 2026, 6:34 p.m. |
Created at: March 27, 2026, 1:58 p.m.