Triple
T29904347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ford Motor Company |
E759494
|
entity |
| Predicate | sharedTechnologyWith |
P54349
|
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, sharedTechnologyWith, Mazda Motor Corporation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharedTechnologyWith Context triple: [Ford Motor Company, sharedTechnologyWith, Mazda Motor Corporation]
-
A.
sharesTechnologyWith
chosen
Indicates that one entity provides, exchanges, or jointly uses technology with another entity.
-
B.
sharesSystemWith
Indicates that two entities operate within or are associated with the same overarching system or environment.
-
C.
sharesResourcesWith
Indicates that two entities mutually use, access, or allocate the same resources.
-
D.
sharesBayWith
Indicates that two locations are situated along or adjacent to the same bay.
-
E.
sharesFacilityWith
Indicates that two entities use or have access to the same physical facility or location.
- 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_69fe0d165a48819098b854318a50d76c |
completed | May 8, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69fe0931002481908a95b34f95e9f64e |
completed | May 8, 2026, 4:02 p.m. |
Created at: April 29, 2026, 6:07 p.m.