Triple
T16179713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MG Metro |
E392653
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | MG Cars |
E392642
|
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 Cars | Statement: [MG Metro, brand, MG Cars]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MG Cars Context triple: [MG Metro, brand, MG Cars]
-
A.
MG Cars
chosen
MG Cars was a historic British automotive marque best known for its affordable sports cars and roadsters produced throughout much of the 20th century.
-
B.
AC Cars
AC Cars is a historic British sports car manufacturer best known for producing the AC Ace, which became the basis for Carroll Shelby’s iconic Shelby Cobra.
-
C.
SS Cars Ltd
SS Cars Ltd was a British automobile manufacturer of the 1930s and early 1940s that later became known as Jaguar Cars.
-
D.
Bristol Cars
Bristol Cars was a British manufacturer of hand-built luxury and sports cars known for its exclusivity, aviation-influenced engineering, and low-volume production.
-
E.
Lancia
Lancia is an Italian automobile manufacturer renowned for its historic innovations and success in motorsport, particularly rally racing.
- 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_6a001f860ecc8190be904fa793968d89 |
completed | May 10, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:02 a.m.