Triple
T19680976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pininfarina |
E472583
|
entity |
| Predicate | designedFor |
P98
|
FINISHED |
| Object | Chery |
—
|
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: Chery | Statement: [Pininfarina, designedFor, Chery]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chery Context triple: [Pininfarina, designedFor, Chery]
-
A.
Chery Automobile
chosen
Chery Automobile is a major Chinese state-owned car manufacturer known for producing affordable passenger vehicles and exporting them to numerous international markets.
-
B.
Changan
Changan is a major Chinese automobile manufacturer known for producing a wide range of passenger cars and commercial vehicles.
-
C.
Chery Tiggo
The Chery Tiggo is a compact crossover SUV line produced by Chinese automaker Chery, known for its affordability and strong presence in emerging markets.
-
D.
Chery Arrizo
The Chery Arrizo is a line of compact sedans produced by Chinese automaker Chery, positioned as affordable, modern family and commuter cars for domestic and export markets.
-
E.
Dongfeng
Dongfeng is a major Chinese state-owned automobile manufacturer known for producing a wide range of commercial and passenger vehicles and partnering with global car brands.
- 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.