Triple
T535939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ford Model e |
E12326
|
entity |
| Predicate | differentiatedFrom |
P6335
|
FINISHED |
| Object | Ford Pro |
E54566
|
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: Ford Pro | Statement: [Ford Model e, differentiatedFrom, Ford Pro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ford Pro Context triple: [Ford Model e, differentiatedFrom, Ford Pro]
-
A.
Ford Pro
chosen
Ford Pro is Ford Motor Company's global commercial vehicle and services division focused on trucks, vans, fleet management, and productivity solutions for business customers.
-
B.
Ford F-Series
The Ford F-Series is a long-running line of full-size pickup trucks that has become one of the best-selling and most iconic vehicle ranges in automotive history.
-
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.
Ford Explorer
The Ford Explorer is a popular mid-size sport utility vehicle (SUV) known for its family-friendly design, versatility, and long-standing presence in the North American market.
-
E.
Ford Blue
Ford Blue is a Ford Motor Company division focused on traditional internal-combustion and hybrid vehicles, emphasizing the brand’s legacy nameplates and mainstream models.
- 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_69a4933208e88190891f5debab1b776d |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a496d904408190a2ed16c839017623 |
completed | March 1, 2026, 7:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4c030883081909c8f32b7af85f8a6 |
completed | March 1, 2026, 10:39 p.m. |
Created at: March 1, 2026, 7:32 p.m.