Triple
T16179629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MG TF |
E392651
|
entity |
| Predicate | marketedAs |
P1395
|
FINISHED |
| Object | MG TF 1250 |
E392651
|
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: MG TF 1250 | Statement: [MG TF, marketedAs, MG TF 1250]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MG TF 1250 Context triple: [MG TF, marketedAs, MG TF 1250]
-
A.
MG 213C
MG 213C is a post–World War II German-developed 20 mm revolver autocannon design that became highly influential in the development of modern aircraft cannon.
-
B.
MG 51
The MG 51 is a Swiss general-purpose machine gun developed after World War II, known for its robust construction, high reliability, and long service life in the Swiss Armed Forces.
-
C.
Lawmaster motorcycle
The Lawmaster motorcycle is Judge Dredd’s heavily armed, AI-equipped patrol bike from the Judge Dredd comics, known for its formidable weaponry, onboard computer, and iconic design.
-
D.
MG TF
chosen
The MG TF is a small British two-seat sports car produced by MG, known for its agile handling and classic roadster styling.
-
E.
Zündapp KS 750
The Zündapp KS 750 was a German heavy military motorcycle with sidecar, extensively used by the Wehrmacht in World War II for reconnaissance, transport, and communication duties.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2205b88b481908ecdd8d663dc668b |
completed | April 17, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffff0022148190bc1810e76cf6d994 |
completed | May 10, 2026, 3:44 a.m. |
Created at: April 10, 2026, 5:02 a.m.