Triple
T18139159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ram dealerships |
E434214
|
entity |
| Predicate | market |
P1743
|
FINISHED |
| Object | Ram 3500 |
—
|
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: Ram 3500 | Statement: [Ram dealerships, market, Ram 3500]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ram 3500 Context triple: [Ram dealerships, market, Ram 3500]
-
A.
Ram 3500
chosen
The Ram 3500 is a heavy-duty full-size pickup truck known for its powerful towing and hauling capabilities, offered under the Ram Trucks brand.
-
B.
Ram 2500
The Ram 2500 is a heavy-duty full-size pickup truck known for its strong towing and hauling capabilities, offered by Ram Trucks for work and recreational use.
-
C.
Ram Trucks
Ram Trucks is an American brand of light to heavy-duty pickup trucks and commercial vehicles known for its powerful performance and rugged design.
-
D.
Chevrolet Kodiak
The Chevrolet Kodiak is a line of medium-duty commercial trucks produced by General Motors, commonly used for vocational applications such as construction, towing, and delivery.
-
E.
Nissan Frontier
The Nissan Frontier is a midsize pickup truck known for its durability, off-road capability, and value-oriented alternative to other trucks in its class.
- 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de0993e88190b19c5cb35a6d252d |
completed | April 19, 2026, 1:52 p.m. |
Created at: April 10, 2026, 10:29 a.m.