Triple
T13412690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hunsrück |
E320128
|
entity |
| Predicate | hasSubregion |
P285
|
FINISHED |
| Object |
Binger Wald
Binger Wald is a forested low-mountain region in Rhineland-Palatinate, Germany, known for its wooded hills, hiking trails, and location near the Rhine Gorge.
|
E1038887
|
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: Binger Wald | Statement: [Hunsrück, hasSubregion, Binger Wald]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Binger Wald Context triple: [Hunsrück, hasSubregion, Binger Wald]
-
A.
Vogelthal
Vogelthal is a small village in Bavaria, Germany, known as the birthplace of World War II tank commander Michael Wittmann.
-
B.
Giebichenstein
Giebichenstein is a district of Halle (Saale) in Germany, historically notable as the birthplace of World War I flying ace Oswald Boelcke.
-
C.
Weilerswist
Weilerswist is a municipality in the Rhein-Erft district of North Rhine-Westphalia, Germany, known for its rural character and proximity to the cities of Cologne and Bonn.
-
D.
Wingsbach
Wingsbach is a small district within the town of Taunusstein in the Rheingau-Taunus region of Hesse, Germany.
-
E.
Saletbach
Saletbach is a mountain stream in the Bavarian Alps that feeds into the Königssee, known for its clear waters and scenic alpine surroundings.
- 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: Binger Wald Triple: [Hunsrück, hasSubregion, Binger Wald]
Generated description
Binger Wald is a forested low-mountain region in Rhineland-Palatinate, Germany, known for its wooded hills, hiking trails, and location near the Rhine Gorge.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Binger Wald Target entity description: Binger Wald is a forested low-mountain region in Rhineland-Palatinate, Germany, known for its wooded hills, hiking trails, and location near the Rhine Gorge.
-
A.
Vogelthal
Vogelthal is a small village in Bavaria, Germany, known as the birthplace of World War II tank commander Michael Wittmann.
-
B.
Giebichenstein
Giebichenstein is a district of Halle (Saale) in Germany, historically notable as the birthplace of World War I flying ace Oswald Boelcke.
-
C.
Weilerswist
Weilerswist is a municipality in the Rhein-Erft district of North Rhine-Westphalia, Germany, known for its rural character and proximity to the cities of Cologne and Bonn.
-
D.
Wingsbach
Wingsbach is a small district within the town of Taunusstein in the Rheingau-Taunus region of Hesse, Germany.
-
E.
Saletbach
Saletbach is a mountain stream in the Bavarian Alps that feeds into the Königssee, known for its clear waters and scenic alpine surroundings.
- 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaeb556948190af008c88e5bbf051 |
completed | April 12, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7307e9b5881908eb2cd9e4fa7c5f2 |
completed | May 3, 2026, 11:24 a.m. |
| NEDg | Description generation | batch_69f73195e4d88190ad356d0e3e18d34f |
completed | May 3, 2026, 11:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f73220ffc08190bfb1b89757efd606 |
completed | May 3, 2026, 11:31 a.m. |
Created at: April 9, 2026, 9:35 p.m.