Triple
T16179312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MG HS |
E392645
|
entity |
| Predicate | manufacturer |
P490
|
FINISHED |
| Object | MG Motor |
E91029
|
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 Motor | Statement: [MG HS, manufacturer, MG Motor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MG Motor Context triple: [MG HS, manufacturer, MG Motor]
-
A.
MG Motor
chosen
MG Motor is a British-born automotive marque, now owned by Chinese manufacturer SAIC Motor, known for producing affordable compact cars and electric vehicles for global markets.
-
B.
Opel
Opel is a German automobile manufacturer known for producing a wide range of passenger cars and light commercial vehicles for the European market.
-
C.
Genesis Motor
Genesis Motor is Hyundai Motor Company's luxury vehicle brand, known for producing premium sedans and SUVs that compete with established high-end automakers.
-
D.
DS Automobiles
DS Automobiles is a French premium automotive brand known for its avant-garde design, advanced technology, and luxury-focused vehicles.
-
E.
Toyota Motor Europe
Toyota Motor Europe is the regional headquarters responsible for Toyota’s automotive sales, marketing, and manufacturing operations across Europe.
- 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_69d87f1d32208190942e4e499a80c18c |
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_6a000ecd897c81908cbea306c9f95da3 |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 5:02 a.m.