Triple
T7199175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BMBF |
E168692
|
entity |
| Predicate | hasOfficialAbbreviation |
P8075
|
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, hasOfficialAbbreviation, BMBF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BMBF Context triple: [BMBF, hasOfficialAbbreviation, 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_69c7d37f67bc8190bc11ab16f7cbe909 |
completed | March 28, 2026, 1:11 p.m. |
Created at: March 27, 2026, 2:52 p.m.