Triple
T23766125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alibaba Group founders |
E587381
|
entity |
| Predicate | createdCompanyType |
P64281
|
FINISHED |
| Object | e-commerce conglomerate |
—
|
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: e-commerce conglomerate | Statement: [Alibaba Group founders, createdCompanyType, e-commerce conglomerate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: createdCompanyType Context triple: [Alibaba Group founders, createdCompanyType, e-commerce conglomerate]
-
A.
createdAgency
Indicates that one entity brought an agency into existence, establishing it as a new organizational or institutional body.
-
B.
creatorOrganizationType
Indicates the type or category of organization that created or is responsible for the entity.
-
C.
createdEntityType
chosen
Indicates the type or category of entity that was produced or brought into existence as a result of the creation action.
-
D.
createdAgencyWithin
Indicates that one entity established or formed an agency or organizational unit within the scope, structure, or authority of another entity.
-
E.
createsLawType
Indicates that an entity (such as a legislative body or authority) brings a specific type or category of law into existence.
- 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_69e2490b8ac48190a6b35f1d5500486b |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bdb5b0408190b46661d80e37b509 |
completed | April 29, 2026, 8:13 a.m. |
| PD | Predicate disambiguation | batch_69f155f79e34819080f9ddb972b34deb |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:15 p.m.