Triple
T3917414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enz |
E88874
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
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.
|
E400064
|
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 Wildbad | Statement: [Enz, flowsThrough, Bad Wildbad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad Wildbad Context triple: [Enz, flowsThrough, Bad Wildbad]
-
A.
Bad Cannstatt
Bad Cannstatt is a historic district of Stuttgart, Germany, known for its mineral springs, traditional architecture, and the Cannstatter Volksfest beer festival.
-
B.
Bad Schwalbach
Bad Schwalbach is a spa town in the German state of Hesse, known for its mineral springs and location in the Taunus mountains.
-
C.
Rottweil
Rottweil is a historic town in southwestern Germany known for its medieval architecture and as the namesake of the Rottweiler dog breed.
-
D.
Blaubeuren
Blaubeuren is a historic town in the Alb-Donau district of Baden-Württemberg, Germany, known for its medieval old town and the karst spring Blautopf.
-
E.
Baden-Baden
Baden-Baden is a historic spa town in southwestern Germany, renowned for its thermal baths, casino, and status as a 19th-century European resort destination.
- 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 Wildbad Triple: [Enz, flowsThrough, Bad Wildbad]
Generated description
Bad Wildbad is a spa town in Germany’s Black Forest, known for its thermal baths and scenic location along the Enz River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bad Wildbad Target entity description: Bad Wildbad is a spa town in Germany’s Black Forest, known for its thermal baths and scenic location along the Enz River.
-
A.
Bad Cannstatt
Bad Cannstatt is a historic district of Stuttgart, Germany, known for its mineral springs, traditional architecture, and the Cannstatter Volksfest beer festival.
-
B.
Bad Schwalbach
Bad Schwalbach is a spa town in the German state of Hesse, known for its mineral springs and location in the Taunus mountains.
-
C.
Rottweil
Rottweil is a historic town in southwestern Germany known for its medieval architecture and as the namesake of the Rottweiler dog breed.
-
D.
Blaubeuren
Blaubeuren is a historic town in the Alb-Donau district of Baden-Württemberg, Germany, known for its medieval old town and the karst spring Blautopf.
-
E.
Baden-Baden
Baden-Baden is a historic spa town in southwestern Germany, renowned for its thermal baths, casino, and status as a 19th-century European resort destination.
- 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_69aed955229881909e85e73ffab1d343 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeed5797508190adaddb84575d9bb3 |
completed | March 9, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b52864e0488190ab348a52cb9168b9 |
completed | March 14, 2026, 9:20 a.m. |
| NEDg | Description generation | batch_69b52c3423988190aae6514041dc8ab3 |
completed | March 14, 2026, 9:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b52ca9443481909e43a8bbe208c807 |
completed | March 14, 2026, 9:38 a.m. |
Created at: March 9, 2026, 3:22 p.m.