Triple
T16654312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hino Motors Sales Australia |
E404686
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object | Hino trucks |
E87325
|
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: Hino trucks | Statement: [Hino Motors Sales Australia, product, Hino trucks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hino trucks Context triple: [Hino Motors Sales Australia, product, Hino trucks]
-
A.
Hino
Hino is a town in Shiga Prefecture, Japan, known for its historical streetscapes and traditional industries.
-
B.
Hino
Hino is a city in western Tokyo, Japan, known as a residential and industrial suburb within the Tama area.
-
C.
Hino Motors, Ltd.
chosen
Hino Motors, Ltd. is a Japanese manufacturer specializing in commercial vehicles and diesel engines, known particularly for its trucks and buses.
-
D.
Mitsubishi Fuso Canter
The Mitsubishi Fuso Canter is a line of light-duty commercial trucks widely used around the world for urban delivery, construction, and utility transport.
-
E.
Mitsubishi Fuso Truck and Bus Corporation
Mitsubishi Fuso Truck and Bus Corporation is a Japanese manufacturer specializing in commercial vehicles such as trucks and buses, historically linked to Mitsubishi and now part of the Daimler Truck group.
- 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37bf92de48190aaae3e93039b17f3 |
completed | April 18, 2026, 12:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a50edea48190b65f4e6a9eb3ba24 |
completed | May 10, 2026, 3:32 p.m. |
Created at: April 10, 2026, 5:18 a.m.