Triple
T16471414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murgtal |
E400070
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Langenbrand
Langenbrand is a small settlement located in Germany’s Murg Valley region of the Black Forest.
|
E1216557
|
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: Langenbrand | Statement: [Murgtal, contains, Langenbrand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Langenbrand Context triple: [Murgtal, contains, Langenbrand]
-
A.
Langenburg
Langenburg is a small historic town in the German state of Baden-Württemberg, known for its hilltop castle and association with various noble families.
-
B.
Braubach
Braubach is a historic town on the Rhine River in Germany, best known for its well-preserved medieval architecture and the prominent Marksburg Castle overlooking it.
-
C.
Brackenheim
Brackenheim is a small town in the German state of Baden-Württemberg, best known as the birthplace of Theodor Heuss, the first President of the Federal Republic of Germany.
-
D.
Langeneß
Langeneß is a small Hallig island in the Wadden Sea off the coast of Schleswig-Holstein, Germany, known for its low-lying landscape, traditional Frisian culture, and vulnerability to tidal flooding.
-
E.
Dombach
Dombach is a district or locality within the town of Bad Camberg in the state of Hesse, 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: Langenbrand Triple: [Murgtal, contains, Langenbrand]
Generated description
Langenbrand is a small settlement located in Germany’s Murg Valley region of the Black Forest.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Langenbrand Target entity description: Langenbrand is a small settlement located in Germany’s Murg Valley region of the Black Forest.
-
A.
Langenburg
Langenburg is a small historic town in the German state of Baden-Württemberg, known for its hilltop castle and association with various noble families.
-
B.
Braubach
Braubach is a historic town on the Rhine River in Germany, best known for its well-preserved medieval architecture and the prominent Marksburg Castle overlooking it.
-
C.
Brackenheim
Brackenheim is a small town in the German state of Baden-Württemberg, best known as the birthplace of Theodor Heuss, the first President of the Federal Republic of Germany.
-
D.
Langeneß
Langeneß is a small Hallig island in the Wadden Sea off the coast of Schleswig-Holstein, Germany, known for its low-lying landscape, traditional Frisian culture, and vulnerability to tidal flooding.
-
E.
Dombach
Dombach is a district or locality within the town of Bad Camberg in the state of Hesse, 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32dd19df881909e4562a5e8473338 |
completed | April 18, 2026, 7:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00581c24508190b4888357828fed80 |
completed | May 10, 2026, 10:04 a.m. |
| NEDg | Description generation | batch_6a00592562708190ae88f24fb34c7a02 |
completed | May 10, 2026, 10:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a005a17fd648190b2c6843f47a9ee2c |
completed | May 10, 2026, 10:12 a.m. |
Created at: April 10, 2026, 5:11 a.m.