Triple
T38541935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | China Resources Snow Breweries |
E924854
|
entity |
| Predicate | hasSalesCharacteristic |
P75508
|
FINISHED |
| Object | high volume sales in China |
—
|
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: high volume sales in China | Statement: [China Resources Snow Breweries, hasSalesCharacteristic, high volume sales in China]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSalesCharacteristic Context triple: [China Resources Snow Breweries, hasSalesCharacteristic, high volume sales in China]
-
A.
hasTradeCharacteristic
Indicates that an entity possesses a specific trade-related attribute, quality, or feature.
-
B.
salesCharacteristic
chosen
Indicates a defining feature, quality, or attribute associated with the sales of an entity, such as how, where, or under what conditions it is sold.
-
C.
hasRetailCharacteristic
Indicates that an entity possesses a specific attribute, feature, or quality relevant to retail contexts (such as pricing, packaging, or point-of-sale properties).
-
D.
catalogCharacteristic
Indicates that a catalog has a specific characteristic or attribute associated with it.
-
E.
productCharacteristic
Indicates that a product possesses, exhibits, or is defined by a specific characteristic or attribute.
- 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_69f76eadeac081909cdfdd0474cb6765 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd0b92f42881908cd77e3f058adcc2 |
completed | May 7, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fd0a3d68d4819094d92040f7c48d7c |
completed | May 7, 2026, 9:55 p.m. |
Created at: May 3, 2026, 4:32 p.m.