Triple
T11931973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disability Living Allowance |
E283935
|
entity |
| Predicate | careComponentRates |
P102234
|
FINISHED |
| Object | lower rate |
—
|
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: lower rate | Statement: [Disability Living Allowance, careComponentRates, lower rate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: careComponentRates Context triple: [Disability Living Allowance, careComponentRates, lower rate]
-
A.
benefitCoordination
Indicates that one entity gains an advantage or positive outcome through the organized cooperation or alignment of actions with another entity.
-
B.
benefitAdministered
Indicates that a benefit (such as aid, service, or entitlement) has been formally provided or delivered to an eligible recipient by an administering party.
-
C.
reimbursementCategory
Indicates the classification or type under which a reimbursement claim or expense is categorized.
-
D.
healthcareType
Indicates the category or kind of healthcare service, system, or coverage associated with an entity.
-
E.
chargesBasedOn
Indicates that one party determines or applies a fee, price, or cost to another party or item according to a specified basis, criterion, or reference.
- F. None of above. chosen
Provenance (4 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90305015c81908edb0d9d3d012b2e |
completed | April 10, 2026, 2:02 p.m. |
| PD | Predicate disambiguation | batch_69d8bb3af0188190bfb22be5c97b3349 |
completed | April 10, 2026, 8:56 a.m. |
| PDg | Predicate description generation | batch_69d8d399d58c81908dab572aa82426d7 |
completed | April 10, 2026, 10:40 a.m. |
Created at: April 8, 2026, 9:45 p.m.