Triple
T20634006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DAT trucks |
E507029
|
entity |
| Predicate | predecessorOf |
P97
|
FINISHED |
| Object | Nissan commercial vehicles |
—
|
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: Nissan commercial vehicles | Statement: [DAT trucks, predecessorOf, Nissan commercial vehicles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nissan commercial vehicles Context triple: [DAT trucks, predecessorOf, Nissan commercial vehicles]
-
A.
Nissan NV400
The Nissan NV400 is a large light commercial van developed in partnership with Renault and Opel/Vauxhall, sharing its platform with the Renault Master.
-
B.
Nissan NV300
The Nissan NV300 is a mid-size light commercial van produced by Nissan, based on and closely related to the Renault Trafic, and offered in various cargo and passenger configurations for European markets.
-
C.
Nissan
chosen
Nissan is a major Japanese automobile manufacturer known for producing a wide range of passenger cars, trucks, and electric vehicles sold globally.
-
D.
Nissan
Nissan is a river in southwestern Sweden that flows through the province of Halland before reaching the Kattegat.
-
E.
Nissan NV200
The Nissan NV200 is a compact front-wheel-drive cargo van and passenger vehicle designed for urban commercial use and efficiency.
- 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_69e6ad0d808c81908a60abd02a22ed92 |
completed | April 20, 2026, 10:47 p.m. |
Created at: April 16, 2026, 11:42 a.m.