Triple
T14559589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Try Again |
E341632
|
entity |
| Predicate | certification_US |
P4913
|
FINISHED |
| Object | Platinum |
—
|
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: Platinum | Statement: [Try Again, certification_US, Platinum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: certification_US Context triple: [Try Again, certification_US, Platinum]
-
A.
certificationUS
chosen
Indicates that an entity holds or is associated with a certification that is recognized, issued, or valid within the United States.
-
B.
typeOfCertification
Indicates the specific kind or category of certification associated with an entity.
-
C.
isCertified
Indicates that an entity has been officially recognized as meeting specific standards or qualifications by an authorized body.
-
D.
certificationUse
Indicates that something is used as a certification or serves as proof of having a particular certified status or qualification.
-
E.
includesCertification
Indicates that one entity contains, lists, or encompasses a specified certification as part of its attributes or offerings.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3881b788190922932fb8ff81160 |
completed | April 14, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69de5c57489c8190b57917be1dba6ae6 |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:23 a.m.