Triple
T5620644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mopar |
E147591
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Ram vehicles |
E17566
|
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: Ram vehicles | Statement: [Mopar, associatedWith, Ram vehicles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ram vehicles Context triple: [Mopar, associatedWith, Ram vehicles]
-
A.
Ram Trucks
chosen
Ram Trucks is an American brand of light to heavy-duty pickup trucks and commercial vehicles known for its powerful performance and rugged design.
-
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.
Humvee
The Humvee is a rugged, high-mobility military vehicle used extensively by the U.S. armed forces and known for inspiring the civilian Hummer line.
-
D.
Ram 3500
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.
-
E.
Dingo armored vehicle
The Dingo armored vehicle is a German-made, highly protected, all-terrain military transport designed for troop movement, patrol, and reconnaissance in conflict zones.
- 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_69c00906f2a88190a992c66b13d606d4 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02211c8f4819090d19656c6eac2d4 |
completed | March 22, 2026, 5:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d59317c8190a4a3b186a46a7249 |
completed | March 22, 2026, 8:13 p.m. |
Created at: March 22, 2026, 3:40 p.m.