Triple
T1471489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal Ministry of Education and Research |
E27143
|
entity |
| Predicate | hasAbbreviation |
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: [Federal Ministry of Education and Research, hasAbbreviation, BMBF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BMBF Context triple: [Federal Ministry of Education and Research, hasAbbreviation, BMBF]
-
A.
BMBF
chosen
BMBF is the German Federal Ministry responsible for national policy and funding in education, science, and research.
-
B.
BMEL
BMEL is the abbreviation for Germany’s Federal Ministry responsible for national policies on food, agriculture, and consumer protection in these areas.
-
C.
MAB
MAB is a German bibliographic data format used for cataloging and exchanging library records, closely related to and historically aligned with MARC standards.
-
D.
MFS
MFS (Macintosh File System) is the original flat file system used by early Macintosh computers before the introduction of the hierarchical HFS.
-
E.
MURI
MURI is a U.S. Department of Defense research program that funds large, multidisciplinary university teams to address complex, high-impact scientific and engineering challenges.
- 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_69a496d25d6881909dbd84f86d763992 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c5db55948190ae5262a70a161b87 |
completed | March 1, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad1c9fb9e48190b904440cb7229c8f |
completed | March 8, 2026, 6:52 a.m. |
Created at: March 1, 2026, 8:01 p.m.