Triple

T7199150
Position Surface form Disambiguated ID Type / Status
Subject BMBF E168692 entity
Predicate abbreviation P43 FINISHED
Object BMBF E168692 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: BMBF | Statement: [BMBF, abbreviation, BMBF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BMBF
Context triple: [BMBF, abbreviation, BMBF]
  • A. BMBF chosen
    BMBF is the German Federal Ministry responsible for national policy and funding in education, science, and research.
  • B. BSMF
    BSMF is an abbreviation for the Beale Street Music Festival, a major annual multi-genre music event held in Memphis, Tennessee.
  • C. BMEL
    BMEL is the abbreviation for Germany’s Federal Ministry responsible for national policies on food, agriculture, and consumer protection in these areas.
  • D. MBZ
    MBZ is the widely used acronym for Mohamed bin Zayed Al Nahyan, the President of the United Arab Emirates and Ruler of Abu Dhabi.
  • E. 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.
  • 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_69c68a5376748190bb500f03df86e93e completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6e92b8bc08190bfcdd34ce42e3448 completed March 27, 2026, 8:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bfac10c88190ad83da6a137abd27 completed March 28, 2026, 11:46 a.m.
Created at: March 27, 2026, 2:52 p.m.