Triple
T10353007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Durant Motors |
E243927
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object | Mason trucks |
E243927
|
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: Mason trucks | Statement: [Durant Motors, product, Mason trucks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mason trucks Context triple: [Durant Motors, product, Mason trucks]
-
A.
Mason trucks
chosen
Mason trucks were a line of commercial vehicles produced in the 1920s by Durant Motors, an American automobile manufacturer founded by former General Motors head William C. Durant.
-
B.
Rockwell trucks
Rockwell trucks are a type of railcar bogie assembly used on New York City’s R46 subway cars, designed to support and guide the cars along the tracks.
-
C.
Mack Trucks
Mack Trucks is a historic American truck manufacturing company best known for its heavy-duty commercial vehicles and iconic bulldog logo.
-
D.
UD Trucks
UD Trucks is a Japanese commercial vehicle manufacturer known for producing medium- and heavy-duty trucks and buses for global markets.
-
E.
MAN Truck & Bus
MAN Truck & Bus is a major European commercial vehicle manufacturer specializing in trucks, buses, and diesel engines, headquartered in Germany and operating worldwide.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e949b8e88190ad933399323aed73 |
completed | April 7, 2026, 11:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7509c50d48190a567d9613a062efc |
completed | April 9, 2026, 7:09 a.m. |
Created at: April 6, 2026, 11:57 a.m.