Triple

T15726476
Position Surface form Disambiguated ID Type / Status
Subject Bundesministerium der Verteidigung E381230 entity
Predicate shortName P43 FINISHED
Object BMVg E381230 NE FINISHED

How this triple was built (2 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: BMVg | Statement: [Bundesministerium der Verteidigung, shortName, BMVg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BMVg
Context triple: [Bundesministerium der Verteidigung, shortName, BMVg]
  • A. BMVg chosen
    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.
  • 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. BMV
    BMV is the National Rail station code for Bromsgrove railway station in Worcestershire, England.
  • D. BMJV
    BMJV was the former abbreviation for Germany’s Federal Ministry of Justice, used before its name change and rebranding.
  • E. BMVI
    BMVI is an EU funding instrument focused on strengthening border management and visa policy implementation across member states.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fb357a88190a92641c8a8c20573 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82f8b88081909855d3da0346fa25 completed May 9, 2026, 6:54 p.m.
Created at: April 10, 2026, 4:46 a.m.