Triple
T6428738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal Ministry of Justice of Germany |
E128124
|
entity |
| Predicate | formerShortName |
P65
|
FINISHED |
| Object |
BMJV
BMJV was the former abbreviation for Germany’s Federal Ministry of Justice, used before its name change and rebranding.
|
E592465
|
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: BMJV | Statement: [Federal Ministry of Justice of Germany, formerShortName, BMJV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BMJV Context triple: [Federal Ministry of Justice of Germany, formerShortName, BMJV]
-
A.
BMUV
BMUV is the German federal ministry responsible for environmental protection, nature conservation, nuclear safety, and consumer protection policy.
-
B.
BMVI
BMVI is the abbreviation for Germany’s former Federal Ministry responsible for transport policy and digital infrastructure development.
-
C.
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.
-
D.
MBJ
MBJ is the IATA airport code for Sangster International Airport, the main tourist gateway serving Montego Bay, Jamaica.
-
E.
BM
BM is the regional vehicle registration code used on license plates for motor vehicles registered in Pekanbaru, Indonesia.
- 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: BMJV Triple: [Federal Ministry of Justice of Germany, formerShortName, BMJV]
Generated description
BMJV was the former abbreviation for Germany’s Federal Ministry of Justice, used before its name change and rebranding.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BMJV Target entity description: BMJV was the former abbreviation for Germany’s Federal Ministry of Justice, used before its name change and rebranding.
-
A.
BMUV
BMUV is the German federal ministry responsible for environmental protection, nature conservation, nuclear safety, and consumer protection policy.
-
B.
BMVI
BMVI is the abbreviation for Germany’s former Federal Ministry responsible for transport policy and digital infrastructure development.
-
C.
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.
-
D.
MBJ
MBJ is the IATA airport code for Sangster International Airport, the main tourist gateway serving Montego Bay, Jamaica.
-
E.
BM
BM is the regional vehicle registration code used on license plates for motor vehicles registered in Pekanbaru, Indonesia.
- 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_69c00838de888190af2eec0b80495efa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c06922a27881908c5571f2aa31e0c1 |
completed | March 22, 2026, 10:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640e678608190b5a1dcd1076bc1f2 |
completed | March 27, 2026, 8:33 a.m. |
| NEDg | Description generation | batch_69c641d6024c8190996aae40851a3b73 |
completed | March 27, 2026, 8:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6425e0a348190bc1eb90eb8c00597 |
completed | March 27, 2026, 8:39 a.m. |
Created at: March 22, 2026, 4:44 p.m.