Triple
T29904353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ford Motor Company |
E759494
|
entity |
| Predicate | sharedMidSizeCarPlatformWith |
P174320
|
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, sharedMidSizeCarPlatformWith, Mazda Motor Corporation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharedMidSizeCarPlatformWith Context triple: [Ford Motor Company, sharedMidSizeCarPlatformWith, Mazda Motor Corporation]
-
A.
sharesChassisWith
chosen
Indicates that two entities are built on the same underlying structural platform or frame.
-
B.
sharesPowertrainWith
Indicates that two entities use the same or a fundamentally identical powertrain system.
-
C.
wheelbaseSharedWith
Indicates that two vehicles have the same wheelbase dimensions or share a common wheelbase platform.
-
D.
trunkColorSharedWith
Indicates that two entities share the same trunk color.
-
E.
usesCarWidth
Indicates that one entity determines, measures, or constrains something based on the width of a car.
- 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_69fe163a41a0819098403b470e327d29 |
completed | May 8, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fe1358db5c819092570814a37ef5bd |
completed | May 8, 2026, 4:46 p.m. |
Created at: April 29, 2026, 6:07 p.m.