Triple
T15053689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Marianne of Prussia |
E379431
|
entity |
| Predicate | placeOfDeath |
P21
|
FINISHED |
| Object |
Ernstbrunn
Ernstbrunn is a market town in Lower Austria known historically as an estate center of the noble House of Kinsky.
|
E1143797
|
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: Ernstbrunn | Statement: [Princess Marianne of Prussia, placeOfDeath, Ernstbrunn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ernstbrunn Context triple: [Princess Marianne of Prussia, placeOfDeath, Ernstbrunn]
-
A.
Dittelbrunn
Dittelbrunn is a municipality in the Schweinfurt district of Bavaria, Germany, known for its residential character and proximity to the city of Schweinfurt.
-
B.
Feldbrunnen
Feldbrunnen is a village and municipality in the canton of Solothurn in northwestern Switzerland.
-
C.
Nußbach
Nußbach is a village and district of the town of Oberkirch in the Ortenau region of Baden-Württemberg, Germany.
-
D.
Groß Dölln
Groß Dölln is a small village in Brandenburg, Germany, known for its surrounding forests, lakes, and the nearby former military airfield now used as a driving and testing center.
-
E.
Breidenbach
Breidenbach is a municipality in the German state of Hesse, known for its rural setting near the Rothaar Mountains and proximity to the town of Bad Laasphe.
- 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: Ernstbrunn Triple: [Princess Marianne of Prussia, placeOfDeath, Ernstbrunn]
Generated description
Ernstbrunn is a market town in Lower Austria known historically as an estate center of the noble House of Kinsky.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ernstbrunn Target entity description: Ernstbrunn is a market town in Lower Austria known historically as an estate center of the noble House of Kinsky.
-
A.
Dittelbrunn
Dittelbrunn is a municipality in the Schweinfurt district of Bavaria, Germany, known for its residential character and proximity to the city of Schweinfurt.
-
B.
Feldbrunnen
Feldbrunnen is a village and municipality in the canton of Solothurn in northwestern Switzerland.
-
C.
Nußbach
Nußbach is a village and district of the town of Oberkirch in the Ortenau region of Baden-Württemberg, Germany.
-
D.
Groß Dölln
Groß Dölln is a small village in Brandenburg, Germany, known for its surrounding forests, lakes, and the nearby former military airfield now used as a driving and testing center.
-
E.
Breidenbach
Breidenbach is a municipality in the German state of Hesse, known for its rural setting near the Rothaar Mountains and proximity to the town of Bad Laasphe.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69deda92091c81909180f486edf01405 |
completed | April 15, 2026, 12:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed31debb48190908d59178e67adb6 |
completed | May 9, 2026, 6:24 a.m. |
| NEDg | Description generation | batch_69fed50514b08190bc50d2e700d82e69 |
completed | May 9, 2026, 6:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fed5693ff08190b16b4c8fc8bdf959 |
completed | May 9, 2026, 6:34 a.m. |
Created at: April 10, 2026, 3:01 a.m.