Triple
T24203752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pepsi Plunge |
E600045
|
entity |
| Predicate | reasonForReducedUse |
P37640
|
FINISHED |
| Object | safety concerns |
—
|
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: safety concerns | Statement: [Pepsi Plunge, reasonForReducedUse, safety concerns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForReducedUse Context triple: [Pepsi Plunge, reasonForReducedUse, safety concerns]
-
A.
reasonForUse
Indicates that one entity specifies the justification, purpose, or motivation for using another entity.
-
B.
reasonForPerformanceLimitation
Indicates that one factor serves as the cause or explanation for why a performance limitation occurs.
-
C.
discouragedUsageReason
chosen
Indicates the reason why a particular usage, action, or practice is considered discouraged.
-
D.
reasonForLimitedAdoption
Indicates the factor or explanation that accounts for why something has not been widely or fully adopted.
-
E.
restrictedFromUseFor
Indicates that something is prohibited or limited from being used for a specified purpose, context, or application.
- 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_69e288ceaab88190899d0acb5931591d |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27ca38c148190ae65cd692567d43d |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c43e55688190b55fc20274ed471c |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:37 p.m.