Triple
T19203653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yangqing Jia |
E480174
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Alibaba Cloud |
—
|
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: Alibaba Cloud | Statement: [Yangqing Jia, employer, Alibaba Cloud]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alibaba Cloud Context triple: [Yangqing Jia, employer, Alibaba Cloud]
-
A.
Alibaba Cloud
chosen
Alibaba Cloud is a leading global cloud computing and infrastructure services provider originating from China, offering a wide range of scalable computing, storage, and data solutions.
-
B.
Azure
Azure is Microsoft's cloud computing platform offering a wide range of services for building, deploying, and managing applications and infrastructure through Microsoft-managed data centers.
-
C.
Azure
Azure is a powerful, malevolent cosmic being who serves as one of the primary antagonists in the Doctor Who: Flux storyline.
-
D.
Amazon Web Services
Amazon Web Services is a leading global cloud computing platform offering on-demand infrastructure, storage, and application services to businesses, developers, and institutions.
-
E.
Yandex Cloud
Yandex Cloud is a public cloud computing platform by Yandex that provides scalable infrastructure, storage, and managed services for building and running applications.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8cb8c348190b52075823911c869 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5f99b37c081908c13e0b4cca52aa4 |
completed | April 20, 2026, 10:02 a.m. |
Created at: April 10, 2026, 1:15 p.m.