Triple
T6622417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RC-6 |
E149707
|
entity |
| Predicate | originBrandType |
P67912
|
FINISHED |
| Object | Chinese domestic brand |
—
|
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: Chinese domestic brand | Statement: [RC-6, originBrandType, Chinese domestic brand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originBrandType Context triple: [RC-6, originBrandType, Chinese domestic brand]
-
A.
parentBrand
Indicates that one brand is the overarching or owning brand from which another brand is derived or subordinated.
-
B.
brandSource
Indicates that one entity is the originating or providing brand associated with another entity (such as a product, service, or content).
-
C.
hasBrandType
chosen
Indicates that an entity is associated with or categorized under a particular brand type or classification.
-
D.
usedBrandOf
Indicates that one entity made use of or operated an item, product, or service associated with a particular brand.
-
E.
brandNameDerivedFrom
Indicates that the brand’s name is derived from, based on, or taken from another specified name or source.
- 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_69c687ed8a9c81908bb671717cb192ef |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6bdb88cc881908f35648c15a7dc85 |
completed | March 27, 2026, 5:26 p.m. |
| PD | Predicate disambiguation | batch_69c6ad007c1c8190af425f51011c7ad1 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:58 p.m.