Triple
T15121206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One Time |
E361175
|
entity |
| Predicate | certificationInUS |
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: [One Time, certificationInUS, Platinum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: certificationInUS Context triple: [One Time, certificationInUS, 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.
isCertified
Indicates that an entity has been officially recognized as meeting specific standards or qualifications by an authorized body.
-
C.
typeOfCertification
Indicates the specific kind or category of certification associated with an entity.
-
D.
canCertify
Indicates that one entity has the authority or capability to officially certify another entity or its attributes.
-
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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0059f69a881909929a037a0eef702 |
completed | April 15, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69deb96c1d9c81909351558ed97bc5b7 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:06 a.m.