Triple
T21820140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Treuenbrietzen |
E538703
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Niebel
Niebel is a small locality that forms part of the town of Treuenbrietzen in the German state of Brandenburg.
|
E1503660
|
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: Niebel | Statement: [Treuenbrietzen, hasSubdivision, Niebel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niebel Context triple: [Treuenbrietzen, hasSubdivision, Niebel]
-
A.
Eisele
Eisele is a surname most notably associated with Donn F. Eisele, an American astronaut who flew on the Apollo 7 mission.
-
B.
Oberholtzer
Oberholtzer is a German-origin surname, often associated with Mennonite and Amish families, that serves as a variant of the Overholt family name.
-
C.
Mennekes
Mennekes is a German electrical engineering company best known in e-mobility for developing the widely adopted Type 2 AC charging connector for electric vehicles.
-
D.
Esherick
Esherick is a surname most notably associated with several American artists and architects, including modernist sculptor Wharton Esherick.
-
E.
Leeb
Leeb is a German surname most notably associated with Wilhelm Ritter von Leeb, a field marshal in the Wehrmacht during World War II.
- 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: Niebel Triple: [Treuenbrietzen, hasSubdivision, Niebel]
Generated description
Niebel is a small locality that forms part of the town of Treuenbrietzen in the German state of Brandenburg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Niebel Target entity description: Niebel is a small locality that forms part of the town of Treuenbrietzen in the German state of Brandenburg.
-
A.
Eisele
Eisele is a surname most notably associated with Donn F. Eisele, an American astronaut who flew on the Apollo 7 mission.
-
B.
Oberholtzer
Oberholtzer is a German-origin surname, often associated with Mennonite and Amish families, that serves as a variant of the Overholt family name.
-
C.
Mennekes
Mennekes is a German electrical engineering company best known in e-mobility for developing the widely adopted Type 2 AC charging connector for electric vehicles.
-
D.
Esherick
Esherick is a surname most notably associated with several American artists and architects, including modernist sculptor Wharton Esherick.
-
E.
Leeb
Leeb is a German surname most notably associated with Wilhelm Ritter von Leeb, a field marshal in the Wehrmacht during World War II.
- 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_69e0c475038c8190abb9b1a20eb8ff50 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f07cce0b8081909e20ded72db40304 |
completed | April 28, 2026, 9:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a45e136f08190b75f895cbc035db2 |
completed | May 17, 2026, 10:49 p.m. |
| NEDg | Description generation | batch_6a0a46e25f28819099e0464dddb50a11 |
completed | May 17, 2026, 10:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a47957ec881909412730af07fff1e |
completed | May 17, 2026, 10:56 p.m. |
Created at: April 16, 2026, 6:54 p.m.