Triple
T12479943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cloud and AI |
E298277
|
entity |
| Predicate | brandOf |
P1500
|
FINISHED |
| Object | Huawei Cloud |
E61521
|
NE 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: Huawei Cloud | Statement: [Cloud and AI, brandOf, Huawei Cloud]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huawei Cloud Context triple: [Cloud and AI, brandOf, Huawei Cloud]
-
A.
Alibaba Cloud
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.
IBM Cloud
IBM Cloud is a hybrid cloud computing platform and suite of services from IBM that provides infrastructure, platform, and AI capabilities for enterprises.
-
C.
Baidu AI Cloud
Baidu AI Cloud is Baidu’s cloud computing and artificial intelligence platform offering infrastructure, AI services, and industry-specific solutions.
-
D.
HPE GreenLake
HPE GreenLake is Hewlett Packard Enterprise’s hybrid cloud-as-a-service platform that delivers on-premises IT infrastructure and services with a cloud-like, pay-per-use consumption model.
-
E.
Huawei
chosen
Huawei is a major Chinese multinational technology company best known globally for its telecommunications equipment, smartphones, and role in 5G network infrastructure.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dcdcd3c81908ad29145db241408 |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f2732a08190890493925e41a6e1 |
completed | May 2, 2026, 6:15 p.m. |
Created at: April 8, 2026, 9:56 p.m.