Triple
T12480062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huawei Nova series |
E298280
|
entity |
| Predicate | hasModel |
P2390
|
FINISHED |
| Object | Huawei Nova 5 Pro |
E984174
|
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 Nova 5 Pro | Statement: [Huawei Nova series, hasModel, Huawei Nova 5 Pro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huawei Nova 5 Pro Context triple: [Huawei Nova series, hasModel, Huawei Nova 5 Pro]
-
A.
Huawei Nova
chosen
Huawei Nova is a mid-range Android smartphone from Huawei’s Nova lineup, known for its stylish design and solid camera performance.
-
B.
Huawei P50 Pro
The Huawei P50 Pro is a high-end Android smartphone known for its advanced camera system, premium design, and flagship performance.
-
C.
Huawei P50
The Huawei P50 is a flagship smartphone from Huawei known for its high-end camera system, premium design, and powerful performance features.
-
D.
Huawei P20 Pro
The Huawei P20 Pro is a flagship Android smartphone known for its Leica-branded triple camera system, strong low-light photography, and premium design.
-
E.
Huawei Mate 50
The Huawei Mate 50 is a high-end Android smartphone from Huawei’s Mate lineup, featuring premium hardware, advanced cameras, and flagship-level performance.
- 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_69f684d4821c8190aa29db4b35262e8e |
completed | May 2, 2026, 11:12 p.m. |
Created at: April 8, 2026, 9:56 p.m.