Triple
T9621797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mirebalais |
E232358
|
entity |
| Predicate | publicHealthFocus |
P44704
|
FINISHED |
| Object | primary care |
—
|
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: primary care | Statement: [Mirebalais, publicHealthFocus, primary care]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicHealthFocus Context triple: [Mirebalais, publicHealthFocus, primary care]
-
A.
publicHealthSignificance
Indicates that something has importance, impact, or relevance for the health of the public or population at large.
-
B.
publicHealthResponse
Indicates actions and measures taken by authorities or organizations to prevent, control, or mitigate health threats within a population.
-
C.
focusesOnMedicalCare
chosen
Indicates that one entity directs attention, resources, or activity specifically toward providing or improving medical care for another entity.
-
D.
publicHealthEmergencyOfInternationalConcern
Indicates that a health event is so serious, sudden, unusual, or unexpected that it poses a public health risk to other countries and may require a coordinated international response.
-
E.
positionOnHealthCare
Indicates a person or entity’s stance, opinion, or policy preference regarding health care systems, services, or reforms.
- 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_69ca84867bb88190b4b57dd5a56d5691 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9ad505588190b8c81ce09f1904ec |
completed | April 1, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69ccd5aa1d2c8190a287bf1cf4a3037e |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:10 p.m.