Triple
T6435228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PACCAR |
E129877
|
entity |
| Predicate | subsidiary |
P258
|
FINISHED |
| Object | Leyland Trucks |
E591918
|
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: Leyland Trucks | Statement: [PACCAR, subsidiary, Leyland Trucks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leyland Trucks Context triple: [PACCAR, subsidiary, Leyland Trucks]
-
A.
Leyland Trucks
chosen
Leyland Trucks is a British commercial vehicle manufacturer known for producing medium and heavy-duty trucks, now operating as part of the global PACCAR group.
-
B.
Mack Trucks
Mack Trucks is a historic American truck manufacturing company best known for its heavy-duty commercial vehicles and iconic bulldog logo.
-
C.
DAF Trucks
DAF Trucks is a Dutch manufacturer of commercial vehicles and heavy-duty trucks known for its reliable long-haul and distribution trucks across Europe and beyond.
-
D.
Kenworth
Kenworth is a prominent American manufacturer of heavy-duty and medium-duty trucks known for their durability and use in commercial freight and vocational applications.
-
E.
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.
- 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_69c0084caac48190a7bc2ad8ba44536f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c069415c3c8190b91bd12ae79edd26 |
completed | March 22, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64bbf31bc8190981362639a0e1ce5 |
completed | March 27, 2026, 9:19 a.m. |
Created at: March 22, 2026, 4:45 p.m.