Triple
T29904345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ford Motor Company |
E759494
|
entity |
| Predicate | collaboratedOnVehiclePlatformsWith |
P168236
|
FINISHED |
| Object | Mazda Motor Corporation |
—
|
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: Mazda Motor Corporation | Statement: [Ford Motor Company, collaboratedOnVehiclePlatformsWith, Mazda Motor Corporation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collaboratedOnVehiclePlatformsWith Context triple: [Ford Motor Company, collaboratedOnVehiclePlatformsWith, Mazda Motor Corporation]
-
A.
platformsDevelopedFor
Indicates the platforms (e.g., operating systems, devices, or environments) for which something has been specifically created or adapted.
-
B.
vehicleDeveloped
Indicates that an entity (such as a person, organization, or group) created, designed, or otherwise developed a particular vehicle.
-
C.
alsoManufacturedBy
Indicates that an item or product is produced by an additional manufacturer beyond the primary or previously mentioned one.
-
D.
producedVehicle
Indicates that one entity manufactured or created a particular vehicle.
-
E.
platformsOfWork
Indicates the work-related platforms or environments through which an entity performs, offers, or organizes work.
- F. None of above. chosen
Provenance (4 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_69f224600590819085e148a01c056ef6 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6775489c8819082f3ac9e756b6d92 |
completed | May 2, 2026, 10:14 p.m. |
| PD | Predicate disambiguation | batch_69f66ec8298c8190b41fe9d182c05676 |
completed | May 2, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69f67256d064819094be04fc1bbbc635 |
completed | May 2, 2026, 9:53 p.m. |
Created at: April 29, 2026, 6:07 p.m.