Triple
T6723132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NHS Dental Exemption Certificates |
E153443
|
entity |
| Predicate | holderEntitlement |
P19034
|
FINISHED |
| Object | free NHS dental examinations |
—
|
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: free NHS dental examinations | Statement: [NHS Dental Exemption Certificates, holderEntitlement, free NHS dental examinations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: holderEntitlement Context triple: [NHS Dental Exemption Certificates, holderEntitlement, free NHS dental examinations]
-
A.
holderPrivileges
chosen
Indicates that one entity possesses specific rights, permissions, or advantages granted to the holder of another entity.
-
B.
holderIs
Indicates that one entity serves as the holder, possessor, or container of another entity.
-
C.
holderMayBe
Indicates that a particular entity is allowed or permitted to serve as the holder or possessor of another entity.
-
D.
wearerEntitlement
Indicates that an entity has the right or authorization to wear a particular item (such as clothing, equipment, or an accessory).
-
E.
entailsPrivileges
Indicates that one entity’s status, action, or condition grants or carries with it specific rights, powers, or privileges for another entity or itself.
- 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_69c6880afb988190ad88011b48ecfcba |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d354177481908ab3cf5437c095e2 |
completed | March 27, 2026, 6:58 p.m. |
| PD | Predicate disambiguation | batch_69c6d08e8a2c8190ae4e8d8c039be7ce |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:08 p.m.