Triple
T8878360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kudowa-Zdrój |
E211344
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object |
Bad Kudowa@de
Bad Kudowa ist der deutsche Name des polnischen Kurortes Kudowa-Zdrój in der Woiwodschaft Niederschlesien nahe der tschechischen Grenze.
|
E764715
|
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: Bad Kudowa@de | Statement: [Kudowa-Zdrój, hasNameInLanguage, Bad Kudowa@de]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad Kudowa@de Context triple: [Kudowa-Zdrój, hasNameInLanguage, Bad Kudowa@de]
-
A.
Wigratzbad
Wigratzbad is a small Bavarian village in Germany known as a Catholic pilgrimage site and as the location of the International Seminary of St. Peter.
-
B.
Lebach
Lebach is a small town in the Saarland region of western Germany, known for its historical sites and proximity to the French border.
-
C.
Krückau
Krückau is a small river in Schleswig-Holstein, northern Germany, that flows through the town of Elmshorn before joining the Elbe.
-
D.
Radeberg
Radeberg is a small town in the German state of Saxony, known for its Radeberger Pilsner brewery and historic town center near Dresden.
-
E.
Bad Wildbad
Bad Wildbad is a spa town in Germany’s Black Forest, known for its thermal baths and scenic location along the Enz River.
- 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: Bad Kudowa@de Triple: [Kudowa-Zdrój, hasNameInLanguage, Bad Kudowa@de]
Generated description
Bad Kudowa ist der deutsche Name des polnischen Kurortes Kudowa-Zdrój in der Woiwodschaft Niederschlesien nahe der tschechischen Grenze.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bad Kudowa@de Target entity description: Bad Kudowa ist der deutsche Name des polnischen Kurortes Kudowa-Zdrój in der Woiwodschaft Niederschlesien nahe der tschechischen Grenze.
-
A.
Wigratzbad
Wigratzbad is a small Bavarian village in Germany known as a Catholic pilgrimage site and as the location of the International Seminary of St. Peter.
-
B.
Lebach
Lebach is a small town in the Saarland region of western Germany, known for its historical sites and proximity to the French border.
-
C.
Krückau
Krückau is a small river in Schleswig-Holstein, northern Germany, that flows through the town of Elmshorn before joining the Elbe.
-
D.
Radeberg
Radeberg is a small town in the German state of Saxony, known for its Radeberger Pilsner brewery and historic town center near Dresden.
-
E.
Bad Wildbad
Bad Wildbad is a spa town in Germany’s Black Forest, known for its thermal baths and scenic location along the Enz River.
- 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_69ca838e78748190934d82db3104f855 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc61496870819097c55c73aca62aac |
completed | April 1, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfabb87c3481908cf11f2e246f42eb |
completed | April 3, 2026, 11:59 a.m. |
| NEDg | Description generation | batch_69cfacc9b53081909bd3505cff0a7722 |
completed | April 3, 2026, 12:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfad6fff348190b0491ba38d2e6ce5 |
completed | April 3, 2026, 12:07 p.m. |
Created at: March 30, 2026, 6:52 p.m.