Triple
T16019998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sweet Caroline |
E388573
|
entity |
| Predicate | hasBPIcertificationLevel |
P121390
|
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: [Sweet Caroline, hasBPIcertificationLevel, Platinum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBPIcertificationLevel Context triple: [Sweet Caroline, hasBPIcertificationLevel, Platinum]
-
A.
certificationLevel
Indicates the specific rank or degree of formal qualification or authorization that an entity has achieved within a defined certification system.
-
B.
hasCertificationLevels
Indicates that an entity possesses one or more defined levels or tiers of certification within a particular certification scheme or program.
-
C.
isCertified
Indicates that an entity has been officially recognized as meeting specific standards or qualifications by an authorized body.
-
D.
certificationLevelsInclude
Indicates that a set of certification levels contains or encompasses a specified certification level as one of its members.
-
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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1858a00888190b8505071575dc56f |
completed | April 17, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e1826a4f7c8190aba6d4f1075141b0 |
completed | April 17, 2026, 12:44 a.m. |
| PDg | Predicate description generation | batch_69e185879c10819080a18e24969b5a6d |
completed | April 17, 2026, 12:57 a.m. |
Created at: April 10, 2026, 4:55 a.m.