Triple
T4906208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LEED for Healthcare |
E109917
|
entity |
| Predicate | offersCertificationLevel |
P59357
|
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 Healthcare, offersCertificationLevel, Certified]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersCertificationLevel Context triple: [LEED for Healthcare, offersCertificationLevel, Certified]
-
A.
offersCertificationPreparationFor
Indicates that an entity provides training or resources specifically designed to prepare individuals for obtaining a particular certification.
-
B.
courseCertification
Indicates that an entity has been formally certified as having successfully completed a particular course.
-
C.
certificationBy
Indicates that one entity formally attests to, approves, or validates the qualifications, standards, or authenticity of another entity.
-
D.
hasCertificationLabel
Indicates that an entity bears or is associated with a specific certification label signifying compliance with defined standards or criteria.
-
E.
hasCertificationStandard
Indicates that an entity complies with, or is associated with, a specific certification standard.
- 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_69bd441180708190ba42ffb44fea533a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e72ed5c819081104c99a398e0af |
completed | March 20, 2026, 3:57 p.m. |
| PD | Predicate disambiguation | batch_69bd6c325e188190823836d79934e9bc |
completed | March 20, 2026, 3:48 p.m. |
| PDg | Predicate description generation | batch_69bd6cc228088190849f23b7bd4cf549 |
completed | March 20, 2026, 3:50 p.m. |
Created at: March 20, 2026, 1:29 p.m.