Triple
T6610560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ARSM diploma |
E149225
|
entity |
| Predicate | hasCreditValue |
P10646
|
FINISHED |
| Object | higher education credit in some frameworks |
—
|
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: higher education credit in some frameworks | Statement: [ARSM diploma, hasCreditValue, higher education credit in some frameworks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCreditValue Context triple: [ARSM diploma, hasCreditValue, higher education credit in some frameworks]
-
A.
hasCredit
chosen
Indicates that an entity possesses or is assigned a credit, such as financial credit, academic credit, or acknowledgment for a contribution.
-
B.
hasCreditRating
Indicates that an entity is assigned a formal assessment of its creditworthiness, typically expressed as a credit score or rating.
-
C.
requiresCreditAs
Indicates that one entity must be credited or acknowledged in a specified manner or role in relation to another entity.
-
D.
hasNotableCredit
Indicates that an entity is recognized for having a significant or noteworthy contribution, role, or acknowledgment associated with it.
-
E.
hasCredential
Indicates that an entity possesses or has been granted a specific credential, qualification, or certification.
- 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_69c687ebc680819094caf71faba2efe2 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cf3796d08190a26e988386089447 |
completed | March 27, 2026, 6:40 p.m. |
| PD | Predicate disambiguation | batch_69c6acfed25481909cac74c84a9fe088 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:57 p.m.