Triple
T20841729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NHS Constitution for England |
E513117
|
entity |
| Predicate | setsResponsibility |
P133500
|
FINISHED |
| Object | patients to treat NHS staff with respect |
—
|
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: patients to treat NHS staff with respect | Statement: [NHS Constitution for England, setsResponsibility, patients to treat NHS staff with respect]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: setsResponsibility Context triple: [NHS Constitution for England, setsResponsibility, patients to treat NHS staff with respect]
-
A.
responsibleFor
Indicates that one entity has a duty, obligation, or role to manage, oversee, or be accountable for another entity or outcome.
-
B.
grantsResponsibility
Indicates that one entity assigns or confers a duty, role, or obligation to another entity.
-
C.
setsObligationsFor
chosen
Indicates that one party establishes duties, responsibilities, or required actions that another party is bound to fulfill.
-
D.
accountabilityTo
Indicates that one entity is responsible for explaining, justifying, or answering for its actions, decisions, or outcomes to another entity.
-
E.
numberOfResponsibilitiesForAuthorities
Indicates the quantitative extent or count of responsibilities assigned to or borne by authorities.
- 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_69e0b4cf62a88190bbf92351e9e57259 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c34be7a081909c9e98e7f7af7fde |
completed | April 21, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a1f4f48190aa9fb4ef8f8aea5a |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:43 p.m.