Triple
T10923462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DASA |
E258003
|
entity |
| Predicate | formedByMergerOf |
P77
|
FINISHED |
| Object | MBB |
E422628
|
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: MBB | Statement: [DASA, formedByMergerOf, MBB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MBB Context triple: [DASA, formedByMergerOf, MBB]
-
A.
MBB
chosen
MBB (Messerschmitt-Bölkow-Blohm) was a major West German aerospace manufacturer and defense contractor that played a key role in developing European military aircraft and helicopters.
-
B.
MMB
MMB is the commonly used abbreviation for the Michigan Marching Band, the official marching band of the University of Michigan known for its performances at football games and major events.
-
C.
MMB
MMB is the stock ticker symbol for Lagardère Group, a major French media and publishing conglomerate.
-
D.
BB-37
BB-37 is the hull number of USS Oklahoma, a Nevada-class battleship of the United States Navy that was sunk during the attack on Pearl Harbor in 1941.
-
E.
MAB
MAB is a German vehicle registration code used for cars registered in the Erzgebirgskreis district of Saxony.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7708e3fd881908da10f24a856364c |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2172894d88190b7b27f78e9fd1521 |
completed | April 17, 2026, 11:19 a.m. |
Created at: April 8, 2026, 9:22 p.m.