Triple
T29904355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ford Motor Company |
E759494
|
entity |
| Predicate | usedMazdaPlatformsFor |
P66199
|
FINISHED |
| Object | Ford Probe |
—
|
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: Ford Probe | Statement: [Ford Motor Company, usedMazdaPlatformsFor, Ford Probe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedMazdaPlatformsFor Context triple: [Ford Motor Company, usedMazdaPlatformsFor, Ford Probe]
-
A.
engineUsedIn
Indicates that a particular engine is utilized as a component or power source within a specified system, device, or application.
-
B.
usedChassisFor
chosen
Indicates that one entity employed or incorporated another entity’s chassis as the structural base or framework for its construction or operation.
-
C.
platformsDevelopedFor
Indicates the platforms (e.g., operating systems, devices, or environments) for which something has been specifically created or adapted.
-
D.
hasFictionalVehicle
Indicates that one entity possesses, controls, or is associated with a vehicle that exists only in a fictional or imaginary context.
-
E.
vehicleManufacturerHosted
Indicates that a vehicle manufacturer organized, sponsored, or served as the host for a particular event or activity.
- F. None of above.
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_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. |
Created at: April 29, 2026, 6:07 p.m.