Triple
T16874224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baiersbronn |
E421254
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Huzenbach
Huzenbach is a village and district within the Black Forest municipality of Baiersbronn in Baden-Württemberg, Germany.
|
E1240674
|
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: Huzenbach | Statement: [Baiersbronn, hasPart, Huzenbach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huzenbach Context triple: [Baiersbronn, hasPart, Huzenbach]
-
A.
Nanzenbach
Nanzenbach is a village-level district that forms part of the town of Dillenburg in the Lahn-Dill-Kreis of Hesse, Germany.
-
B.
Fiescherbach
Fiescherbach is a mountain stream in the Swiss Alps that flows through the village of Fiesch in the canton of Valais.
-
C.
Wielenbach
Wielenbach is a small municipality in the Upper Bavarian region of Germany, situated within the district of Weilheim-Schongau.
-
D.
Gaisbach
Gaisbach is a village and district of the town of Oberkirch in the state of Baden-Württemberg in southwestern Germany.
-
E.
Vohenstrauß
Vohenstrauß is a small town in the Upper Palatinate region of Bavaria, Germany, known for its historic architecture and surrounding forested landscapes.
- 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: Huzenbach Triple: [Baiersbronn, hasPart, Huzenbach]
Generated description
Huzenbach is a village and district within the Black Forest municipality of Baiersbronn in Baden-Württemberg, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Huzenbach Target entity description: Huzenbach is a village and district within the Black Forest municipality of Baiersbronn in Baden-Württemberg, Germany.
-
A.
Nanzenbach
Nanzenbach is a village-level district that forms part of the town of Dillenburg in the Lahn-Dill-Kreis of Hesse, Germany.
-
B.
Fiescherbach
Fiescherbach is a mountain stream in the Swiss Alps that flows through the village of Fiesch in the canton of Valais.
-
C.
Wielenbach
Wielenbach is a small municipality in the Upper Bavarian region of Germany, situated within the district of Weilheim-Schongau.
-
D.
Gaisbach
Gaisbach is a village and district of the town of Oberkirch in the state of Baden-Württemberg in southwestern Germany.
-
E.
Vohenstrauß
Vohenstrauß is a small town in the Upper Palatinate region of Bavaria, Germany, known for its historic architecture and surrounding forested landscapes.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3b7f5290481909e0fd0af30935fcd |
completed | April 18, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfc6e77c8190853f747687299fce |
completed | May 10, 2026, 6:34 p.m. |
| NEDg | Description generation | batch_6a00d048da5c8190ba7b96665c4e0f8b |
completed | May 10, 2026, 6:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00d0d23c248190bf0cfedd846f2161 |
completed | May 10, 2026, 6:39 p.m. |
Created at: April 10, 2026, 5:29 a.m.