Triple
T16179613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MG TF |
E392651
|
entity |
| Predicate | manufacturer |
P490
|
FINISHED |
| Object | MG |
E91030
|
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 | Statement: [MG TF, manufacturer, MG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MG Context triple: [MG TF, manufacturer, MG]
-
A.
MG
chosen
MG is a historic British automotive marque best known for its sports cars, now owned and produced by Chinese manufacturer SAIC Motor.
-
B.
MG
MG is the vehicle registration code for the German city of Mönchengladbach.
-
C.
MGY
MGY was the distinctive wireless call sign used by the RMS Titanic for its radio communications.
-
D.
MJG
MJG is an American rapper best known as one half of the influential Southern hip hop duo 8Ball & MJG.
-
E.
MGW
MGW is the IATA airport code for Morgantown Municipal Airport, a regional airport serving Morgantown, West Virginia.
- 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_6a003548837c819091695a91f88bd0bc |
completed | May 10, 2026, 7:35 a.m. |
Created at: April 10, 2026, 5:02 a.m.