Triple

T11096824
Position Surface form Disambiguated ID Type / Status
Subject Border Management and Visa Instrument E262398 entity
Predicate shortName P43 FINISHED
Object BMVI
BMVI is an EU funding instrument focused on strengthening border management and visa policy implementation across member states.
 E904524 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: BMVI | Statement: [Border Management and Visa Instrument, shortName, BMVI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BMVI
Context triple: [Border Management and Visa Instrument, shortName, BMVI]
  • A. BMVI
    BMVI is the abbreviation for Germany’s former Federal Ministry responsible for transport policy and digital infrastructure development.
  • B. BMV
    BMV is the main stock exchange in Mexico, serving as the country’s central marketplace for trading equities and other financial instruments.
  • C. BMJV
    BMJV was the former abbreviation for Germany’s Federal Ministry of Justice, used before its name change and rebranding.
  • D. BMVg
    BMVg is the commonly used abbreviation for Germany’s Federal Ministry of Defence, the government department responsible for the country’s military and defense policy.
  • E. BMUV
    BMUV is the German federal ministry responsible for environmental protection, nature conservation, nuclear safety, and consumer protection policy.
  • 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: BMVI
Triple: [Border Management and Visa Instrument, shortName, BMVI]
Generated description
BMVI is an EU funding instrument focused on strengthening border management and visa policy implementation across member states.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BMVI
Target entity description: BMVI is an EU funding instrument focused on strengthening border management and visa policy implementation across member states.
  • A. BMVI
    BMVI is the abbreviation for Germany’s former Federal Ministry responsible for transport policy and digital infrastructure development.
  • B. BMV
    BMV is the main stock exchange in Mexico, serving as the country’s central marketplace for trading equities and other financial instruments.
  • C. BMJV
    BMJV was the former abbreviation for Germany’s Federal Ministry of Justice, used before its name change and rebranding.
  • D. BMVg
    BMVg is the commonly used abbreviation for Germany’s Federal Ministry of Defence, the government department responsible for the country’s military and defense policy.
  • E. BMUV
    BMUV is the German federal ministry responsible for environmental protection, nature conservation, nuclear safety, and consumer protection policy.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a0a02cc8190a15df663d4860163 completed April 9, 2026, 12:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e7eca9bc8190b43bae081d97d804 completed April 18, 2026, 8:22 p.m.
NEDg Description generation batch_69e3f2cbb4708190a328cff473104d14 completed April 18, 2026, 9:08 p.m.
NED2 Entity disambiguation (via description) batch_69e3f497a01881909d1dae70a02e5f97 completed April 18, 2026, 9:16 p.m.
Created at: April 8, 2026, 9:27 p.m.