Triple
T14416293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vöhrenbach |
E357460
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Langenbach
Langenbach is a locality that forms one of the subdivisions of the town of Vöhrenbach in the Black Forest region of southwestern Germany.
|
E1129316
|
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: Langenbach | Statement: [Vöhrenbach, hasSubdivision, Langenbach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Langenbach Context triple: [Vöhrenbach, hasSubdivision, Langenbach]
-
A.
Lengenfeld
Lengenfeld is a small town in the Free State of Saxony in eastern Germany, known as the birthplace of biblical scholar Constantin von Tischendorf.
-
B.
Siegbach
Siegbach is a small rural municipality in the German state of Hesse, known for its scenic location within the wooded hills of central Germany.
-
C.
Leuenberg
Leuenberg is a village in Switzerland known as the site where major European Protestant churches concluded the Leuenberg Agreement on church fellowship.
-
D.
Schwarzenbach
Schwarzenbach is a small river in Switzerland that serves as a tributary of the Murg.
-
E.
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.
- 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: Langenbach Triple: [Vöhrenbach, hasSubdivision, Langenbach]
Generated description
Langenbach is a locality that forms one of the subdivisions of the town of Vöhrenbach in the Black Forest region of southwestern Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Langenbach Target entity description: Langenbach is a locality that forms one of the subdivisions of the town of Vöhrenbach in the Black Forest region of southwestern Germany.
-
A.
Lengenfeld
Lengenfeld is a small town in the Free State of Saxony in eastern Germany, known as the birthplace of biblical scholar Constantin von Tischendorf.
-
B.
Siegbach
Siegbach is a small rural municipality in the German state of Hesse, known for its scenic location within the wooded hills of central Germany.
-
C.
Leuenberg
Leuenberg is a village in Switzerland known as the site where major European Protestant churches concluded the Leuenberg Agreement on church fellowship.
-
D.
Schwarzenbach
Schwarzenbach is a small river in Switzerland that serves as a tributary of the Murg.
-
E.
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.
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90cc99208190a2313b1acfb5d802 |
completed | April 14, 2026, 7:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bbfc6048190897f064a5686ebf8 |
completed | May 9, 2026, 1:19 a.m. |
| NEDg | Description generation | batch_69fe8cfd57dc81909ba5789fefa0092c |
completed | May 9, 2026, 1:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe8d955d2c819087bb42e644478fbe |
completed | May 9, 2026, 1:27 a.m. |
Created at: April 10, 2026, 1:17 a.m.