Triple
T11027362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MRCP(UK) |
E260660
|
entity |
| Predicate | credentialConferred |
P55991
|
FINISHED |
| Object | postnominal letters MRCP(UK) |
—
|
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: postnominal letters MRCP(UK) | Statement: [MRCP(UK), credentialConferred, postnominal letters MRCP(UK)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: credentialConferred Context triple: [MRCP(UK), credentialConferred, postnominal letters MRCP(UK)]
-
A.
credentialOffered
Indicates that one party presents or makes available a credential to another party for potential acceptance or use.
-
B.
credentialAwardedBy
Indicates that a particular credential is granted or conferred by a specific awarding organization or authority.
-
C.
credentialAwarded
chosen
Indicates that a particular credential has been granted or conferred to an entity as a result of meeting specified requirements.
-
D.
credentialType
Indicates the specific kind or category of credential associated with an entity or relationship.
-
E.
entryLevelCredential
Indicates that a credential qualifies someone for initial or beginner-level entry into a field, role, or program.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797d190f08190bcb5949ee24306f1 |
completed | April 9, 2026, 12:13 p.m. |
| PD | Predicate disambiguation | batch_69d7440087ac8190aef2e6f6b13b2635 |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:25 p.m.