Triple
T4844975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LEED for Retail |
E108265
|
entity |
| Predicate | certificationLevel |
P59736
|
FINISHED |
| Object | Certified |
—
|
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: Certified | Statement: [LEED for Retail, certificationLevel, Certified]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: certificationLevel Context triple: [LEED for Retail, certificationLevel, Certified]
-
A.
certificationBy
Indicates that one entity formally attests to, approves, or validates the qualifications, standards, or authenticity of another entity.
-
B.
courseCertification
Indicates that an entity has been formally certified as having successfully completed a particular course.
-
C.
trainingLevel
Indicates the degree or stage of training or skill development that an entity has attained.
-
D.
certificationUS
Indicates that an entity holds or is associated with a certification that is recognized, issued, or valid within the United States.
-
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_69bd4409b264819085ab855f3eb5381a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e01872c81909607010c10538ad1 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c2375a4819098e16acb982c8fab |
completed | March 20, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69bd6dfff1488190a32bbb615bfab970 |
completed | March 20, 2026, 3:55 p.m. |
Created at: March 20, 2026, 1:25 p.m.