Triple
T921353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | zur Lippe-Biesterfeld |
E19890
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object |
Lippe
Lippe is a historical region in northwestern Germany that once formed a small principality and later a Free State within the German Reich.
|
E138916
|
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: Lippe | Statement: [zur Lippe-Biesterfeld, region, Lippe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lippe Context triple: [zur Lippe-Biesterfeld, region, Lippe]
-
A.
Leine
The Leine is a major river in central Germany that flows through the federal state of Lower Saxony, passing cities such as Göttingen and Hanover before joining the Aller.
-
B.
Weser
The Weser is a major river in northwestern Germany that flows through several federal states before emptying into the North Sea.
-
C.
Regnitz
The Regnitz is a river in the German state of Bavaria that flows through cities such as Erlangen and Bamberg before joining the Main River.
-
D.
Werra
The Werra is a major river in central Germany that forms one of the two headstreams of the Weser.
-
E.
Ruhr
The Ruhr is a river in western Germany that flows through the Ruhr industrial region before joining the Rhine.
- 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: Lippe Triple: [zur Lippe-Biesterfeld, region, Lippe]
Generated description
Lippe is a historical region in northwestern Germany that once formed a small principality and later a Free State within the German Reich.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lippe Target entity description: Lippe is a historical region in northwestern Germany that once formed a small principality and later a Free State within the German Reich.
-
A.
Leine
The Leine is a major river in central Germany that flows through the federal state of Lower Saxony, passing cities such as Göttingen and Hanover before joining the Aller.
-
B.
Weser
The Weser is a major river in northwestern Germany that flows through several federal states before emptying into the North Sea.
-
C.
Regnitz
The Regnitz is a river in the German state of Bavaria that flows through cities such as Erlangen and Bamberg before joining the Main River.
-
D.
Werra
The Werra is a major river in central Germany that forms one of the two headstreams of the Weser.
-
E.
Ruhr
The Ruhr is a river in western Germany that flows through the Ruhr industrial region before joining the Rhine.
- 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_69a493a099788190a696d9d8408cbaf4 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b313cb908190ad78b3a54e4f2eb7 |
completed | March 1, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac82f25c088190ae32593e6edbb8d0 |
completed | March 7, 2026, 7:56 p.m. |
| NEDg | Description generation | batch_69ac83c99fe481909b62ba635c4bc98c |
completed | March 7, 2026, 8 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac843a0bdc819099ee4ae275ef5669 |
completed | March 7, 2026, 8:02 p.m. |
Created at: March 1, 2026, 7:40 p.m.