Triple
T10293845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mazda Motor Manufacturing USA plant |
E241431
|
entity |
| Predicate | hasJointVentureType |
P15570
|
FINISHED |
| Object | manufacturing joint venture |
—
|
LITERAL FINISHED |
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: manufacturing joint venture | Statement: [Mazda Motor Manufacturing USA plant, hasJointVentureType, manufacturing joint venture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasJointVentureType Context triple: [Mazda Motor Manufacturing USA plant, hasJointVentureType, manufacturing joint venture]
-
A.
hasJointVenture
Indicates that two or more entities are engaged together in a formally established joint business venture or collaborative commercial undertaking.
-
B.
formerJointVentureWith
Indicates that two entities were previously engaged together in a joint venture relationship that has since ended.
-
C.
subsidiaryOrJointVenture
Indicates that one organization is either a subsidiary of, or a jointly owned venture with, another organization.
-
D.
hasJointProgramWith
Indicates that two entities collaborate to offer a shared or coordinated program, initiative, or course of study.
-
E.
hasPartnershipType
chosen
Indicates the specific kind or category of partnership relationship that exists between entities.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2d46fb08190b7694290692e47dc |
completed | April 7, 2026, 9:48 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f35e548190be3b4d92d65d2d20 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:42 a.m.