Triple
T33203347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DisplayHDR |
E849961
|
entity |
| Predicate | certificationLabelUsage |
P176183
|
FINISHED |
| Object | used in product marketing materials |
—
|
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: used in product marketing materials | Statement: [DisplayHDR, certificationLabelUsage, used in product marketing materials]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: certificationLabelUsage Context triple: [DisplayHDR, certificationLabelUsage, used in product marketing materials]
-
A.
hasCertificationLabel
Indicates that an entity bears or is associated with a specific certification label signifying compliance with defined standards or criteria.
-
B.
certificationUse
Indicates that something is used as a certification or serves as proof of having a particular certified status or qualification.
-
C.
typeOfCertification
Indicates the specific kind or category of certification associated with an entity.
-
D.
certificationBasis
Indicates the standard, criteria, or authority on which a certification or official approval is founded.
-
E.
certificationScope
Indicates the specific range, domain, or subject matter that a given certification covers or applies to.
- F. None of above. chosen
Provenance (4 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_69f3495efedc8190843a5728089544b9 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6dd3cc0648190a275812d6711275a |
completed | May 3, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69f6d82eaee081908f06a71546315aea |
completed | May 3, 2026, 5:07 a.m. |
| PDg | Predicate description generation | batch_69f6dd3b335481909e24d4eb5b0269f9 |
completed | May 3, 2026, 5:29 a.m. |
Created at: May 1, 2026, 1:30 a.m.