Triple
T6649098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clinical Negligence Scheme for General Practice |
E150772
|
entity |
| Predicate | costToMembers |
P5902
|
FINISHED |
| Object | no direct membership fee for GPs |
—
|
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: no direct membership fee for GPs | Statement: [Clinical Negligence Scheme for General Practice, costToMembers, no direct membership fee for GPs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: costToMembers Context triple: [Clinical Negligence Scheme for General Practice, costToMembers, no direct membership fee for GPs]
-
A.
membershipCost
Indicates the monetary amount required to obtain or maintain membership in something.
-
B.
totalMembershipApprox
Indicates an approximate total count of members associated with an entity.
-
C.
costToUser
chosen
Indicates the amount of cost or expense that is borne by, charged to, or incurred by the user.
-
D.
membershipIncluded
Indicates that one entity’s membership or inclusion is contained within, or granted as part of, another entity’s membership.
-
E.
clubMembership
Indicates that an entity belongs to, is enrolled in, or holds membership status within a particular club.
- 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_69c687f1a3048190828b7342f7125d5c |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cc9c6cb0819084fec8e0beb430de |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6ad04d66c8190926ffcbff372643b |
completed | March 27, 2026, 4:15 p.m. |
Created at: March 27, 2026, 2:01 p.m.