Triple
T8036640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marui |
E187123
|
entity |
| Predicate | hasSubsidiaryBusiness |
P80692
|
FINISHED |
| Object | credit card services |
—
|
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: credit card services | Statement: [Marui, hasSubsidiaryBusiness, credit card services]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubsidiaryBusiness Context triple: [Marui, hasSubsidiaryBusiness, credit card services]
-
A.
hasSubsidiaryLabel
Indicates that one entity is identified as a subsidiary or subordinate organization of another entity.
-
B.
hasParentCompanyBusiness
Indicates that one company operates as a business owned or controlled by another company that serves as its parent company.
-
C.
hasBranchOffice
Indicates that one organization maintains a branch office or subsidiary location in another place or entity.
-
D.
hasSubsidiaryFounded
Indicates that one entity has a subsidiary that was founded or established by another specified entity.
-
E.
usedBySubsidiaryOf
Indicates that something is used by an entity that is a subsidiary of another organization.
- 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_69ca82ae2d1081909dbfee42b41db419 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3f188e1c8190b92760c91d31f2df |
completed | March 31, 2026, 3:27 a.m. |
| PD | Predicate disambiguation | batch_69cb049688208190b32088bd2c5930bc |
completed | March 30, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69cb14bcbbc0819094a98e7ffffb7a40 |
completed | March 31, 2026, 12:26 a.m. |
Created at: March 30, 2026, 5:22 p.m.