Triple
T1765965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alb-Donau-Kreis |
E38763
|
entity |
| Predicate | ISO3166-2Code |
P208
|
FINISHED |
| Object |
DE-BW
DE-BW is the ISO 3166-2 code for the German federal state of Baden-Württemberg.
|
E197463
|
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: DE-BW | Statement: [Alb-Donau-Kreis, ISO3166-2Code, DE-BW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DE-BW Context triple: [Alb-Donau-Kreis, ISO3166-2Code, DE-BW]
-
A.
BAdW
BAdW is the abbreviation for the Bavarian Academy of Sciences and Humanities, a major German scholarly institution dedicated to advancing research across the sciences and humanities.
-
B.
BMEL
BMEL is the abbreviation for Germany’s Federal Ministry responsible for national policies on food, agriculture, and consumer protection in these areas.
-
C.
Stuttgart
Stuttgart is a major city in southwestern Germany known as an important industrial, cultural, and economic center, particularly famous for its automotive industry and surrounding wine-growing region.
-
D.
Düsseldorf
Düsseldorf is a major German city on the Rhine River known for its fashion and art scenes, modern architecture, and status as an important economic and financial center.
-
E.
DBE
DBE is the title "Dame Commander of the Order of the British Empire," a high-ranking honor awarded in the British honours system.
- 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: DE-BW Triple: [Alb-Donau-Kreis, ISO3166-2Code, DE-BW]
Generated description
DE-BW is the ISO 3166-2 code for the German federal state of Baden-Württemberg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DE-BW Target entity description: DE-BW is the ISO 3166-2 code for the German federal state of Baden-Württemberg.
-
A.
BAdW
BAdW is the abbreviation for the Bavarian Academy of Sciences and Humanities, a major German scholarly institution dedicated to advancing research across the sciences and humanities.
-
B.
Bad Driburg
Bad Driburg is a small spa town in North Rhine-Westphalia, Germany, known for its mineral springs and health resorts.
-
C.
Stuttgart
Stuttgart is a major city in southwestern Germany known as an important industrial, cultural, and economic center, particularly famous for its automotive industry and surrounding wine-growing region.
-
D.
Düsseldorf
Düsseldorf is a major German city on the Rhine River known for its fashion and art scenes, modern architecture, and status as an important economic and financial center.
-
E.
DBE
DBE is the title "Dame Commander of the Order of the British Empire," a high-ranking honor awarded in the British honours system.
- 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_69a8862d562481908d7025a1c1f67c0d |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa6467c3f08190abc8a06269ede908 |
completed | March 6, 2026, 5:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada0f37a28819086c35c9f7a07dea9 |
completed | March 8, 2026, 4:16 p.m. |
| NEDg | Description generation | batch_69ada4da6a988190847452139e1c210d |
completed | March 8, 2026, 4:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ada55d96b88190a4a5c6973d69592d |
completed | March 8, 2026, 4:35 p.m. |
Created at: March 4, 2026, 7:31 p.m.