Triple
T29659912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Four Agenda |
E750376
|
entity |
| Predicate | policyPillar |
P176742
|
FINISHED |
| Object | Universal Health Coverage |
—
|
NE NERFINISHED |
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: Universal Health Coverage | Statement: [Big Four Agenda, policyPillar, Universal Health Coverage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: policyPillar Context triple: [Big Four Agenda, policyPillar, Universal Health Coverage]
-
A.
policyTopic
Indicates that one entity is about, concerned with, or categorized under a particular policy-related subject or theme.
-
B.
policyAim
Indicates that a policy is intended to achieve, promote, or be directed toward a particular goal or objective.
-
C.
policyFocus
Indicates that an entity (such as a person, organization, or document) is primarily concerned with, directed toward, or centered on a particular policy area or issue.
-
D.
policyConcept
Indicates that one entity is a policy and the other is a conceptual element or idea that defines, characterizes, or underlies that policy.
-
E.
policyFramework
Indicates the overarching set of principles, rules, and guidelines that govern how decisions and actions are structured and carried out within a particular domain or context.
- 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_69f0d6226fe881908819197c9ef9ee04 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f6e6029a10819098ff21f58079e70e |
completed | May 3, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d5e8188190b1e1c2e5d1b77031 |
completed | May 3, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69f6e60109648190947a64ca4ce81a3a |
completed | May 3, 2026, 6:06 a.m. |
Created at: April 28, 2026, 6:57 p.m.