Triple
T19680977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pininfarina |
E472583
|
entity |
| Predicate | designedFor |
P98
|
FINISHED |
| Object | VinFast |
—
|
NE NERFINISHED |
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: VinFast | Statement: [Pininfarina, designedFor, VinFast]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VinFast Context triple: [Pininfarina, designedFor, VinFast]
-
A.
Vingroup
chosen
Vingroup is one of Vietnam’s largest private conglomerates, known for its extensive investments in real estate, retail, technology, and automotive manufacturing through brands like Vinhomes and VinFast.
-
B.
Whomobile
The Whomobile is a futuristic, hovercraft-like car used by the Third Doctor in the classic British science fiction television series Doctor Who.
-
C.
Toyota Motor Vietnam
Toyota Motor Vietnam is the Vietnamese subsidiary of Toyota responsible for manufacturing, assembling, and distributing Toyota vehicles in Vietnam.
-
D.
Li Auto
Li Auto is a Chinese electric vehicle manufacturer known for its extended-range hybrid SUVs and focus on smart, family-oriented cars.
-
E.
Byton
Byton is a defunct Chinese electric vehicle startup that aimed to produce high-tech, connected smart cars for global markets.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e641bf97348190bc31b00ed4ec6cad |
completed | April 20, 2026, 3:09 p.m. |
Created at: April 10, 2026, 1:45 p.m.