Triple
T17177505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Todtnau |
E416898
|
entity |
| Predicate | subdivision |
P747
|
FINISHED |
| Object |
Brandenberg
Brandenberg is a locality within the town of Todtnau in the Black Forest region of Baden-Württemberg, Germany.
|
E1303184
|
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: Brandenberg | Statement: [Todtnau, subdivision, Brandenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brandenberg Context triple: [Todtnau, subdivision, Brandenberg]
-
A.
Riedenburg
Riedenburg is a small Bavarian town in southern Germany known for its scenic location in the Altmühl Valley and its historic castles.
-
B.
Ribnitz-Damgarten
Ribnitz-Damgarten is a small town in northeastern Germany known as the “Bernsteinstadt” (Amber Town) for its long tradition of amber processing and its location near the Baltic Sea.
-
C.
Schwedt
Schwedt is a town in northeastern Germany, located on the Oder River near the Polish border, known for its industrial facilities and cross-border regional ties.
-
D.
Biebrich
Biebrich is a district of Wiesbaden in the German state of Hesse, historically known as an independent town on the Rhine and the site of the Baroque Biebrich Palace.
-
E.
Moritzburg
Moritzburg is a small Saxon town in eastern Germany, best known for its Baroque Moritzburg Castle and surrounding lakes and forests.
- 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: Brandenberg Triple: [Todtnau, subdivision, Brandenberg]
Generated description
Brandenberg is a locality within the town of Todtnau in the Black Forest region of Baden-Württemberg, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brandenberg Target entity description: Brandenberg is a locality within the town of Todtnau in the Black Forest region of Baden-Württemberg, Germany.
-
A.
Riedenburg
Riedenburg is a small Bavarian town in southern Germany known for its scenic location in the Altmühl Valley and its historic castles.
-
B.
Ribnitz-Damgarten
Ribnitz-Damgarten is a small town in northeastern Germany known as the “Bernsteinstadt” (Amber Town) for its long tradition of amber processing and its location near the Baltic Sea.
-
C.
Schwedt
Schwedt is a town in northeastern Germany, located on the Oder River near the Polish border, known for its industrial facilities and cross-border regional ties.
-
D.
Biebrich
Biebrich is a district of Wiesbaden in the German state of Hesse, historically known as an independent town on the Rhine and the site of the Baroque Biebrich Palace.
-
E.
Moritzburg
Moritzburg is a small Saxon town in eastern Germany, best known for its Baroque Moritzburg Castle and surrounding lakes and forests.
- 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_6a034996dbf48190a2615ca0dc242733 |
completed | May 12, 2026, 3:39 p.m. |
| NEDg | Description generation | batch_6a034c04b0a48190bb3996dd1a0872d2 |
completed | May 12, 2026, 3:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a034ccc5a8081908f388c68ad205374 |
completed | May 12, 2026, 3:52 p.m. |
Created at: April 10, 2026, 5:37 a.m.