Triple
T35873345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New South Wales education system |
E1037287
|
entity |
| Predicate | providesCredential |
P175680
|
FINISHED |
| Object | Higher School Certificate |
—
|
NE NERFINISHED |
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: Higher School Certificate | Statement: [New South Wales education system, providesCredential, Higher School Certificate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: providesCredential Context triple: [New South Wales education system, providesCredential, Higher School Certificate]
-
A.
grantsCredential
chosen
Indicates that one entity confers or issues an official credential, qualification, or certification to another entity.
-
B.
hasCredential
Indicates that an entity possesses or has been granted a specific credential, qualification, or certification.
-
C.
usesCredentialsOf
Indicates that one entity authenticates or operates by employing the credentials (such as login details, tokens, or keys) that belong to another entity.
-
D.
credentialOffered
Indicates that one party presents or makes available a credential to another party for potential acceptance or use.
-
E.
credentialType
Indicates the specific kind or category of credential associated with an entity or relationship.
- 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_69f76e1e701c8190a4990d4978ce4fe6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fe920a437081908d5174e8cf7a53a6 |
completed | May 9, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69fe919a9a6c8190acb4483f386e6db7 |
completed | May 9, 2026, 1:44 a.m. |
Created at: May 3, 2026, 4:06 p.m.