Triple
T20634299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venucia |
E507036
|
entity |
| Predicate | competitor |
P1375
|
FINISHED |
| Object | Trumpchi |
—
|
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: Trumpchi | Statement: [Venucia, competitor, Trumpchi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trumpchi Context triple: [Venucia, competitor, Trumpchi]
-
A.
Trumpchi
chosen
Trumpchi is a Chinese automobile marque known for producing a range of passenger vehicles under the GAC Group.
-
B.
Trumps
"Trumps" is a 19th-century novel by American writer and reformer George William Curtis, known for its social commentary and depiction of New York society.
-
C.
Trump
Trump is a prominent American surname most widely associated with businessman and former U.S. President Donald Trump and his family.
-
D.
Trumpchi GA5
The Trumpchi GA5 is a mid-size sedan produced by Chinese automaker GAC under its Trumpchi brand, positioned as a comfortable, value-oriented family and business car.
-
E.
Charlie Trumper
Charlie Trumper is the ambitious, streetwise London barrow boy who rises to become a powerful businessman in Jeffrey Archer’s novel "As the Crow Flies."
- 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_69e0b4bd4a0081908d4e97a590a33fb2 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6ad0e5fc481909e4f0dd7fb1203fc |
completed | April 20, 2026, 10:47 p.m. |
Created at: April 16, 2026, 11:42 a.m.