Triple
T19243211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National City Lines |
E481181
|
entity |
| Predicate | ownedBy |
P347
|
FINISHED |
| Object | Mack Trucks |
—
|
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: Mack Trucks | Statement: [National City Lines, ownedBy, Mack Trucks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mack Trucks Context triple: [National City Lines, ownedBy, Mack Trucks]
-
A.
Mack Trucks
chosen
Mack Trucks is a historic American truck manufacturing company best known for its heavy-duty commercial vehicles and iconic bulldog logo.
-
B.
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.
-
C.
Peterbilt
Peterbilt is an American manufacturer of premium heavy-duty and medium-duty trucks known for their durability, performance, and iconic styling.
-
D.
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.
-
E.
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.
- 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_69d8e8cd9d1081908a181d02b88b59b8 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5faf3018881909ef866616c45ff2e |
completed | April 20, 2026, 10:07 a.m. |
Created at: April 10, 2026, 1:27 p.m.