Triple
T18804200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BMUV |
E459830
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | BMUV |
—
|
NE NERFINISHED |
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: BMUV | Statement: [BMUV, shortName, BMUV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BMUV Context triple: [BMUV, shortName, BMUV]
-
A.
BMUV
chosen
BMUV is the German federal ministry responsible for environmental protection, nature conservation, nuclear safety, and consumer protection policy.
-
B.
BMV
BMV is the National Rail station code for Bromsgrove railway station in Worcestershire, England.
-
C.
BMV
BMV is the main stock exchange in Mexico, serving as the country’s central marketplace for trading equities and other financial instruments.
-
D.
BMV
BMV is the common abbreviation for the Indiana Bureau of Motor Vehicles, the state agency responsible for driver licensing, vehicle registration, and related motor vehicle services in Indiana.
-
E.
BMJV
BMJV was the former abbreviation for Germany’s Federal Ministry of Justice, used before its name change and rebranding.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a025faf48190be07086071df5b34 |
completed | April 20, 2026, 3:40 a.m. |
Created at: April 10, 2026, 11:53 a.m.