Triple
T3889352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coca-Cola Zero Sugar |
E88019
|
entity |
| Predicate | isPartOfPortfolio |
P18121
|
FINISHED |
| Object | Coca-Cola low- and no-sugar beverages |
—
|
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: Coca-Cola low- and no-sugar beverages | Statement: [Coca-Cola Zero Sugar, isPartOfPortfolio, Coca-Cola low- and no-sugar beverages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfPortfolio Context triple: [Coca-Cola Zero Sugar, isPartOfPortfolio, Coca-Cola low- and no-sugar beverages]
-
A.
portfolioOf
Indicates that one entity is the collection of investments, works, or assets that are owned, managed, or represented by another entity.
-
B.
belongsToPortfolio
chosen
Indicates that something is included as a component or asset within a particular portfolio.
-
C.
positionInBrandPortfolio
Indicates the relative role or rank that a brand holds within a company’s overall brand portfolio.
-
D.
typicalPortfolio
Indicates that one entity is the standard or representative portfolio associated with another entity (such as a person, account, or organization).
-
E.
positionInPortfolio
Indicates the specific role, allocation, or placement that an asset or holding occupies within a particular investment portfolio.
- 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_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. |
Created at: March 9, 2026, 3:21 p.m.