Triple
T29904349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ford Motor Company |
E759494
|
entity |
| Predicate | coDevelopedEnginesWith |
P168237
|
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, coDevelopedEnginesWith, Mazda Motor Corporation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coDevelopedEnginesWith Context triple: [Ford Motor Company, coDevelopedEnginesWith, Mazda Motor Corporation]
-
A.
developedEngine
Indicates that one entity created, designed, or engineered an engine for another entity or purpose.
-
B.
notableAircraftEngine
Indicates that an aircraft engine holds particular significance or prominence, such as historical importance, exceptional performance, or widespread recognition.
-
C.
aircraftEngineTypeProduced
Indicates that a particular type of aircraft engine is manufactured or produced by a specified entity.
-
D.
aircraftEngineManufacturer
Indicates that one entity is the manufacturer of the aircraft engine used by another entity.
-
E.
developedAircraft
Indicates that an entity (such as a person or organization) was responsible for designing, creating, or engineering a particular aircraft.
- 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.