Triple

T21535399
Position Surface form Disambiguated ID Type / Status
Subject Federal Office for Customs and Border Security E531336 entity
Predicate abbreviation P43 FINISHED
Object BAZG
BAZG is the Swiss Federal Office responsible for customs, border security, and related enforcement tasks.
 E1488569 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: BAZG | Statement: [Federal Office for Customs and Border Security, abbreviation, BAZG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BAZG
Context triple: [Federal Office for Customs and Border Security, abbreviation, BAZG]
  • A. BZG
    BZG is the IATA airport code for Bydgoszcz Ignacy Jan Paderewski Airport in Bydgoszcz, Poland.
  • B. BZgA
    BZgA is Germany’s Federal Centre for Health Education, a government agency responsible for nationwide public health information and prevention campaigns.
  • C. BZA
    BZA is the IATA airport code for Bayelsa International Airport in Bayelsa State, Nigeria.
  • D. BZA
    BZA is the station code for Vijayawada Junction, one of the busiest and most important railway hubs in the Indian Railways network.
  • E. BZ
    BZ is the two-letter ISO 3166-1 alpha-2 country code assigned to 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: BAZG
Triple: [Federal Office for Customs and Border Security, abbreviation, BAZG]
Generated description
BAZG is the Swiss Federal Office responsible for customs, border security, and related enforcement tasks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BAZG
Target entity description: BAZG is the Swiss Federal Office responsible for customs, border security, and related enforcement tasks.
  • A. BZG
    BZG is the IATA airport code for Bydgoszcz Ignacy Jan Paderewski Airport in Bydgoszcz, Poland.
  • B. BZgA
    BZgA is Germany’s Federal Centre for Health Education, a government agency responsible for nationwide public health information and prevention campaigns.
  • C. BZA
    BZA is the IATA airport code for Bayelsa International Airport in Bayelsa State, Nigeria.
  • D. BZA
    BZA is the station code for Vijayawada Junction, one of the busiest and most important railway hubs in the Indian Railways network.
  • E. BZ
    BZ is the two-letter ISO 3166-1 alpha-2 country code assigned to 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_69e0c45e5b8881908ac18fc2f493b114 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee9d0ce8d08190b3233d7117a9b1ca completed April 26, 2026, 11:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09e8339c04819092968f7a7baba3f8 completed May 17, 2026, 4:09 p.m.
NEDg Description generation batch_6a09e918bc80819093a8939e0eabf06f completed May 17, 2026, 4:13 p.m.
NED2 Entity disambiguation (via description) batch_6a09e98b27ec8190bacd93a48e4d5467 completed May 17, 2026, 4:15 p.m.
Created at: April 16, 2026, 6:27 p.m.