Triple

T4647224
Position Surface form Disambiguated ID Type / Status
Subject Federal Centre for Health Education E102201 entity
Predicate shortName P43 FINISHED
Object BZgA
BZgA is Germany’s Federal Centre for Health Education, a government agency responsible for nationwide public health information and prevention campaigns.
 E457063 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: BZgA | Statement: [Federal Centre for Health Education, shortName, BZgA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BZgA
Context triple: [Federal Centre for Health Education, shortName, BZgA]
  • A. BZ
    BZ is the vehicle registration code used on license plates for the municipality of Rammenau in Germany.
  • B. BZ
    BZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Belize.
  • C. BZ
    BZ is the commonly used abbreviation for the Ministry of Foreign Affairs of the Netherlands, which is responsible for the country’s foreign policy and international relations.
  • D. BZV
    BZV is the IATA airport code for Maya-Maya Airport, the main international airport serving Brazzaville in the Republic of the Congo.
  • E. BZD
    BZD is the currency code for the Belize dollar, the official monetary unit of Belize.
  • 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: BZgA
Triple: [Federal Centre for Health Education, shortName, BZgA]
Generated description
BZgA is Germany’s Federal Centre for Health Education, a government agency responsible for nationwide public health information and prevention campaigns.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BZgA
Target entity description: BZgA is Germany’s Federal Centre for Health Education, a government agency responsible for nationwide public health information and prevention campaigns.
  • A. BZ
    BZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Belize.
  • B. BZ
    BZ is the commonly used abbreviation for the Ministry of Foreign Affairs of the Netherlands, which is responsible for the country’s foreign policy and international relations.
  • C. BZ
    BZ is the vehicle registration code used on license plates for the municipality of Rammenau in Germany.
  • D. BZV
    BZV is the IATA airport code for Maya-Maya Airport, the main international airport serving Brazzaville in the Republic of the Congo.
  • E. BZD
    BZD is the currency code for the Belize dollar, the official monetary unit of Belize.
  • 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_69bd43d71a308190afea7280841b0de8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd62fcb8508190a17c4437b3d226b2 completed March 20, 2026, 3:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfadfe8b4819088a5fb1565bbe94a completed March 21, 2026, 1:56 a.m.
NEDg Description generation batch_69bdfb9422e48190819d5d99e72e8854 completed March 21, 2026, 1:59 a.m.
NED2 Entity disambiguation (via description) batch_69bdfc6ac91c819090776365d3dc05d4 completed March 21, 2026, 2:03 a.m.
Created at: March 20, 2026, 1:14 p.m.