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.