Triple
T21391271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albert Frederick, Duke of Prussia |
E527654
|
entity |
| Predicate | placeOfDeath |
P21
|
FINISHED |
| Object |
Fischhausen
Fischhausen was a historical town in East Prussia, notable as a residence and later the place of death of Prussian duke Albert Frederick.
|
E1538821
|
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: Fischhausen | Statement: [Albert Frederick, Duke of Prussia, placeOfDeath, Fischhausen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fischhausen Context triple: [Albert Frederick, Duke of Prussia, placeOfDeath, Fischhausen]
-
A.
Walzenhausen
Walzenhausen is a Swiss village and municipality in the canton of Appenzell Ausserrhoden, known for its scenic location above Lake Constance and views over the Rhine Valley.
-
B.
Ochsenhausen
Ochsenhausen is a small historic town in the German state of Baden-Württemberg, best known for its former Benedictine monastery, Ochsenhausen Abbey.
-
C.
Balzhausen
Balzhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
-
D.
Fahrenzhausen
Fahrenzhausen is a municipality in Upper Bavaria, Germany, situated north of Munich along the Amper River.
-
E.
Essinghausen
Essinghausen is a village and locality that forms part of the town of Peine in Lower Saxony, 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: Fischhausen Triple: [Albert Frederick, Duke of Prussia, placeOfDeath, Fischhausen]
Generated description
Fischhausen was a historical town in East Prussia, notable as a residence and later the place of death of Prussian duke Albert Frederick.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fischhausen Target entity description: Fischhausen was a historical town in East Prussia, notable as a residence and later the place of death of Prussian duke Albert Frederick.
-
A.
Walzenhausen
Walzenhausen is a Swiss village and municipality in the canton of Appenzell Ausserrhoden, known for its scenic location above Lake Constance and views over the Rhine Valley.
-
B.
Ochsenhausen
Ochsenhausen is a small historic town in the German state of Baden-Württemberg, best known for its former Benedictine monastery, Ochsenhausen Abbey.
-
C.
Balzhausen
Balzhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
-
D.
Fahrenzhausen
Fahrenzhausen is a municipality in Upper Bavaria, Germany, situated north of Munich along the Amper River.
-
E.
Essinghausen
Essinghausen is a village and locality that forms part of the town of Peine in Lower Saxony, 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_69e0b51ff3748190935c0a513c62a12b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b113690c81909c0a378fddba5d3a |
completed | April 22, 2026, 11:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b123d57b08190b6cbdd33574bccee |
completed | May 18, 2026, 1:21 p.m. |
| NEDg | Description generation | batch_6a0b148bfce881908e394c41f069cd63 |
completed | May 18, 2026, 1:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b1514991c8190b1c26422aa7d68fd |
completed | May 18, 2026, 1:33 p.m. |
Created at: April 16, 2026, 5:13 p.m.