Triple
T2606292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Health and Social Care Act 2012 |
E58665
|
entity |
| Predicate | transfersFunctionTo |
P9014
|
FINISHED |
| Object | local authorities |
—
|
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: local authorities | Statement: [Health and Social Care Act 2012, transfersFunctionTo, local authorities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transfersFunctionTo Context triple: [Health and Social Care Act 2012, transfersFunctionTo, local authorities]
-
A.
transferredFunctionsFrom
Indicates that certain roles, duties, or responsibilities were moved from one entity to another.
-
B.
functionTransferredTo
chosen
Indicates that a specific function, role, or responsibility has been moved from one entity to another.
-
C.
transferredPromotionalFunctionsTo
Indicates that one entity moved or reassigned its promotional responsibilities, duties, or activities to another entity.
-
D.
transferFunctionType
Indicates the specific kind or category of transfer function that characterizes how input signals are transformed into output signals in a system.
-
E.
memberStatesTransferredFunctionsTo
Indicates that certain powers or responsibilities have been formally delegated by member states to another body or institution.
- 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_69ab4ac3523881909679750c9f8c2dec |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd8def9bc8190b2e013abffc7b191 |
completed | March 7, 2026, 7:50 a.m. |
| PD | Predicate disambiguation | batch_69abd80ab7248190ba06ba14fe4c5638 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:49 p.m.