Triple
T11044308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Certificate of Educational Achievement |
E261098
|
entity |
| Predicate | endorsementType |
P81267
|
FINISHED |
| Object | Certificate Endorsement with Merit |
—
|
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: Certificate Endorsement with Merit | Statement: [National Certificate of Educational Achievement, endorsementType, Certificate Endorsement with Merit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endorsementType Context triple: [National Certificate of Educational Achievement, endorsementType, Certificate Endorsement with Merit]
-
A.
endorsementCategory
chosen
Indicates the classification or type of endorsement associated with an entity or action.
-
B.
endorsedAt
Indicates the specific time or date at which an endorsement or approval of something was made.
-
C.
endorsedBy
Indicates that one entity has given formal approval, support, or recommendation to another entity.
-
D.
brandEndorsement
Indicates that one entity publicly supports, recommends, or promotes another entity’s brand, product, or service.
-
E.
sponsorEnd
Indicates the point in time or condition at which a sponsorship relationship or sponsorship-related action comes to an end.
- 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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7982e08548190aec04099cef9453c |
completed | April 9, 2026, 12:14 p.m. |
| PD | Predicate disambiguation | batch_69d74407cb088190ba37c8da3d342b64 |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:26 p.m.