Triple
T3889344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coca-Cola Zero Sugar |
E88019
|
entity |
| Predicate | isSoldIn |
P51662
|
FINISHED |
| Object | bottled beverage market |
—
|
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: bottled beverage market | Statement: [Coca-Cola Zero Sugar, isSoldIn, bottled beverage market]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSoldIn Context triple: [Coca-Cola Zero Sugar, isSoldIn, bottled beverage market]
-
A.
notSoldIn
Indicates that a product or item is unavailable for purchase within a specified market, region, or sales channel.
-
B.
soldInCountry
Indicates that a product or item is offered for sale or has been sold within a specified country.
-
C.
isTypicallySoldAs
Indicates that one entity is commonly offered for sale in the form, packaging, or configuration represented by another entity.
-
D.
soldAt
Indicates that a product or item is offered for sale at a particular location, venue, or outlet.
-
E.
canBePurchasedWith
Indicates that one entity is able to be bought or acquired using another entity as the form of payment.
- F. None of above. chosen
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_69aed9466d548190939f5217a23ed4ac |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeecaee7148190ada451ccfc6582ee |
completed | March 9, 2026, 3:52 p.m. |
| PD | Predicate disambiguation | batch_69aee759609c8190985e96ec6d96dedd |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aee80858a481909961a33fb50ff8d1 |
completed | March 9, 2026, 3:32 p.m. |
Created at: March 9, 2026, 3:21 p.m.