Triple
T23846272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pepsi Max Raspberry |
E592029
|
entity |
| Predicate | parentProductLine |
P11218
|
FINISHED |
| Object | Pepsi Max |
—
|
NE NERFINISHED |
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: Pepsi Max | Statement: [Pepsi Max Raspberry, parentProductLine, Pepsi Max]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parentProductLine Context triple: [Pepsi Max Raspberry, parentProductLine, Pepsi Max]
-
A.
belongsToProductLine
Indicates that an item or product is associated with and classified under a specific product line.
-
B.
productFamily
chosen
Indicates that one product belongs to, or is categorized under, a broader product family or line.
-
C.
productLineStart
Indicates the point in time or position at which a particular product line begins or is first introduced.
-
D.
roleInProductLine
Indicates the specific functional or organizational role an entity holds within a particular product line.
-
E.
usedInProductLine
Indicates that something (such as a component, material, or feature) is utilized within a particular product line.
- 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_69e25d221d908190b9b502ad31e66a3f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c88c9bbc81909204120279e6d980 |
completed | April 29, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f1614612b481908c45d99e588882f9 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:10 p.m.