Triple
T9498730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neustadt an der Waldnaab (district) |
E229079
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Vohenstrauß
Vohenstrauß is a small town in the Upper Palatinate region of Bavaria, Germany, known for its historic architecture and surrounding forested landscapes.
|
E808647
|
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: Vohenstrauß | Statement: [Neustadt an der Waldnaab (district), contains, Vohenstrauß]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vohenstrauß Context triple: [Neustadt an der Waldnaab (district), contains, Vohenstrauß]
-
A.
Vechigen
Vechigen is a rural municipality in the canton of Bern, Switzerland, known for its scattered settlements and agricultural landscape near the city of Bern.
-
B.
Wiesener
Wiesener is a surname, likely of German origin, that serves as a variant spelling of the name Wiesner.
-
C.
Gaisbach
Gaisbach is a village and district of the town of Oberkirch in the state of Baden-Württemberg in southwestern Germany.
-
D.
Weisselberg
Weisselberg is a surname most prominently associated with Allen Weisselberg, the longtime chief financial officer of the Trump Organization.
-
E.
Voitsberg
Voitsberg is a small town in southeastern Austria known for its industrial heritage and location within the federal state of Styria.
- 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: Vohenstrauß Triple: [Neustadt an der Waldnaab (district), contains, Vohenstrauß]
Generated description
Vohenstrauß is a small town in the Upper Palatinate region of Bavaria, Germany, known for its historic architecture and surrounding forested landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vohenstrauß Target entity description: Vohenstrauß is a small town in the Upper Palatinate region of Bavaria, Germany, known for its historic architecture and surrounding forested landscapes.
-
A.
Vechigen
Vechigen is a rural municipality in the canton of Bern, Switzerland, known for its scattered settlements and agricultural landscape near the city of Bern.
-
B.
Wiesener
Wiesener is a surname, likely of German origin, that serves as a variant spelling of the name Wiesner.
-
C.
Gaisbach
Gaisbach is a village and district of the town of Oberkirch in the state of Baden-Württemberg in southwestern Germany.
-
D.
Weisselberg
Weisselberg is a surname most prominently associated with Allen Weisselberg, the longtime chief financial officer of the Trump Organization.
-
E.
Voitsberg
Voitsberg is a small town in southeastern Austria known for its industrial heritage and location within the federal state of Styria.
- 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_69ca84753660819098e8d416e89e26ae |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd983a94c48190a7ddf95a953c4ecc |
completed | April 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d16126726c81908e6194a5db342c57 |
completed | April 4, 2026, 7:06 p.m. |
| NEDg | Description generation | batch_69d1634b3cf481909725074696790247 |
completed | April 4, 2026, 7:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d163e654388190ba9b617e6fac18ad |
completed | April 4, 2026, 7:17 p.m. |
Created at: March 30, 2026, 7:56 p.m.