Triple
T1858258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NKGB |
E41754
|
entity |
| Predicate | successor |
P78
|
FINISHED |
| Object | MGB |
E41753
|
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: MGB | Statement: [NKGB, successor, MGB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MGB Context triple: [NKGB, successor, MGB]
-
A.
MGB
chosen
MGB was the Soviet Union’s Ministry of State Security, a key secret police and intelligence agency that operated before being reorganized into the KGB.
-
B.
British Leyland Mini 1000
The British Leyland Mini 1000 is a compact British city car best known worldwide as the iconic yellow vehicle driven by Rowan Atkinson’s character in the television series "Mr. Bean."
-
C.
Lancia Aurelia
The Lancia Aurelia is an iconic Italian luxury car from the early 1950s, renowned for pioneering the production V6 engine and advanced engineering for its time.
-
D.
Alvis Vehicles
Alvis Vehicles was a British manufacturer known for producing military armored vehicles and reconnaissance platforms for the British Army and international customers.
-
E.
Bentley 3 Litre
The Bentley 3 Litre is a pioneering early-1920s British luxury sports car renowned for its engineering excellence and success in endurance racing, including the 24 Hours of Le Mans.
- 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_69a8864a83848190a4ec02721306c511 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb081405881909e4bea94b9813a4b |
completed | March 7, 2026, 4:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69addf4ecdc08190a264b358d3883f70 |
completed | March 8, 2026, 8:42 p.m. |
Created at: March 4, 2026, 7:33 p.m.