Triple
T18740891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ford Taunus 12M |
E458287
|
entity |
| Predicate | platform |
P1292
|
FINISHED |
| Object | Ford P4 platform |
—
|
NE NERFINISHED |
How this triple was built (3 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 P4 platform | Statement: [Ford Taunus 12M, platform, Ford P4 platform]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ford P4 platform Context triple: [Ford Taunus 12M, platform, Ford P4 platform]
-
A.
Ford P2 platform
The Ford P2 platform is an automotive architecture developed by Ford for mid-size vehicles, underpinning several of the company’s global models.
-
B.
Ford D4 platform
The Ford D4 platform is a unibody SUV and crossover vehicle architecture used by Ford for several mid- to full-size models in the late 2000s and 2010s, including the Ford Explorer and related Lincoln variants.
-
C.
Ford D3 platform
The Ford D3 platform is a full-size, front- or all-wheel-drive unibody automobile architecture developed by Ford for large sedans and crossovers in the mid-2000s.
-
D.
Ford C2 platform
The Ford C2 platform is a modular, front-wheel-drive-based vehicle architecture developed by Ford for its latest generation of compact and midsize cars and crossovers, enabling improved efficiency, safety, and flexibility across multiple models.
-
E.
Ford D2C platform (fifth generation)
The Ford D2C platform (fifth generation) is the rear-wheel-drive architecture developed by Ford to underpin the fifth-generation Ford Mustang, enabling its modernized yet retro-inspired pony car design and performance.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ford P4 platform Target entity description: The Ford P4 platform was a compact car chassis architecture developed by Ford of Germany in the early 1960s, underpinning models such as the Ford Taunus 12M.
-
A.
Ford P2 platform
The Ford P2 platform is an automotive architecture developed by Ford for mid-size vehicles, underpinning several of the company’s global models.
-
B.
Ford D4 platform
The Ford D4 platform is a unibody SUV and crossover vehicle architecture used by Ford for several mid- to full-size models in the late 2000s and 2010s, including the Ford Explorer and related Lincoln variants.
-
C.
Ford D3 platform
The Ford D3 platform is a full-size, front- or all-wheel-drive unibody automobile architecture developed by Ford for large sedans and crossovers in the mid-2000s.
-
D.
Ford C2 platform
The Ford C2 platform is a modular, front-wheel-drive-based vehicle architecture developed by Ford for its latest generation of compact and midsize cars and crossovers, enabling improved efficiency, safety, and flexibility across multiple models.
-
E.
Ford D2C platform (fifth generation)
The Ford D2C platform (fifth generation) is the rear-wheel-drive architecture developed by Ford to underpin the fifth-generation Ford Mustang, enabling its modernized yet retro-inspired pony car design and performance.
- F. None of above. chosen
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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5768ecc2081908143310190ffb460 |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 10, 2026, 11:51 a.m.