Triple
T17177509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Todtnau |
E416898
|
entity |
| Predicate | subdivision |
P747
|
FINISHED |
| Object |
Präg
Präg is a small village in the Black Forest region of Baden-Württemberg, Germany, known for its mountainous landscape and outdoor recreation opportunities.
|
E1254240
|
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: Präg | Statement: [Todtnau, subdivision, Präg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Präg Context triple: [Todtnau, subdivision, Präg]
-
A.
Bavier
Bavier is the surname of Frances Bavier, the American actress best known for playing Aunt Bee on the classic television series "The Andy Griffith Show."
-
B.
Rentenmark
The Rentenmark was a temporary German currency introduced in 1923 to halt hyperinflation and stabilize the economy during the Weimar Republic.
-
C.
Schwarzenberg
Schwarzenberg is the noble family name of a prominent Central European princely house historically influential in Austrian and Bohemian politics and military affairs.
-
D.
Schwarzenberg
Schwarzenberg is a locality situated within Germany’s Murgtal valley region.
-
E.
Ostmark
Ostmark was the name used by Nazi Germany for annexed Austria, functioning as an administrative region of the Third Reich.
- 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: Präg Triple: [Todtnau, subdivision, Präg]
Generated description
Präg is a small village in the Black Forest region of Baden-Württemberg, Germany, known for its mountainous landscape and outdoor recreation opportunities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Präg Target entity description: Präg is a small village in the Black Forest region of Baden-Württemberg, Germany, known for its mountainous landscape and outdoor recreation opportunities.
-
A.
Bavier
Bavier is the surname of Frances Bavier, the American actress best known for playing Aunt Bee on the classic television series "The Andy Griffith Show."
-
B.
Rentenmark
The Rentenmark was a temporary German currency introduced in 1923 to halt hyperinflation and stabilize the economy during the Weimar Republic.
-
C.
Schwarzenberg
Schwarzenberg is the noble family name of a prominent Central European princely house historically influential in Austrian and Bohemian politics and military affairs.
-
D.
Schwarzenberg
Schwarzenberg is a locality situated within Germany’s Murgtal valley region.
-
E.
Ostmark
Ostmark was the name used by Nazi Germany for annexed Austria, functioning as an administrative region of the Third Reich.
- 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3fc0ee5008190a73875b39841fd9f |
completed | April 18, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0148455afc8190931ba1316705ae0c |
completed | May 11, 2026, 3:08 a.m. |
| NEDg | Description generation | batch_6a014a2f8fec8190b1303967a76ceb63 |
completed | May 11, 2026, 3:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a014ab0be388190a6ce49cff469fe81 |
completed | May 11, 2026, 3:19 a.m. |
Created at: April 10, 2026, 5:37 a.m.