Triple
T30427930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huawei P30 |
E774084
|
entity |
| Predicate | primaryCameraBranding |
P40833
|
FINISHED |
| Object | Leica |
E785556
|
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: Leica | Statement: [Huawei P30, primaryCameraBranding, Leica]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryCameraBranding Context triple: [Huawei P30, primaryCameraBranding, Leica]
-
A.
cameraBranding
chosen
Indicates that one entity serves as the brand or branding designation associated with a camera or camera product.
-
B.
primaryNetworkBrand
Indicates that one brand serves as the main or most prominent brand associated with a particular network.
-
C.
compatibleCameraType
Indicates that one entity is a type of camera that can properly function or be used in conjunction with another entity.
-
D.
hasCamera
Indicates that an entity is equipped with or possesses a camera.
-
E.
tipoDeCámara
Indicates the specific type or category of camera associated with an entity.
- F. None of above.
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_69f22491ba248190b9a4776ca8e42d02 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a0226c8b2f881909de3c1a5ba40fc49 |
completed | May 11, 2026, 6:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a27ac12545081909643cec25174fc63 |
completed | June 9, 2026, 6 a.m. |
| PD | Predicate disambiguation | batch_6a0225602acc8190978ab4aacc615b8d |
completed | May 11, 2026, 6:52 p.m. |
Created at: April 29, 2026, 8:06 p.m.