Triple
T16221422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toyota Motor Manufacturing Poland |
E393732
|
entity |
| Predicate | hasBusinessForm |
P85630
|
FINISHED |
| Object | subsidiary |
—
|
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: subsidiary | Statement: [Toyota Motor Manufacturing Poland, hasBusinessForm, subsidiary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBusinessForm Context triple: [Toyota Motor Manufacturing Poland, hasBusinessForm, subsidiary]
-
A.
hadBusinessForm
Indicates that an entity possessed or utilized a particular business form or organizational structure in the context of its activities or operations.
-
B.
hasBusiness
Indicates that one entity owns, operates, or is formally associated with a business entity.
-
C.
hasBusinessTypeAlong
Indicates that a business or commercial entity located along a route, corridor, or area is associated with a specific type or category of business activity.
-
D.
businessForm
chosen
Indicates the legal or organizational structure under which a business operates (e.g., sole proprietorship, partnership, corporation).
-
E.
hasBusinessIn
Indicates that one entity conducts, operates, or maintains business activities within the jurisdiction, location, or domain of another entity.
- 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e227fbd88081909fac3f075d5ea7f4 |
completed | April 17, 2026, 12:30 p.m. |
| PD | Predicate disambiguation | batch_69e219e94a448190b73a4e6aa374eb4a |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:03 a.m.