Triple
T25175926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malawi and Mozambique |
E630445
|
entity |
| Predicate | shareRegionalHealthChallenges |
P70759
|
FINISHED |
| Object | HIV/AIDS prevalence |
—
|
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: HIV/AIDS prevalence | Statement: [Malawi and Mozambique, shareRegionalHealthChallenges, HIV/AIDS prevalence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shareRegionalHealthChallenges Context triple: [Malawi and Mozambique, shareRegionalHealthChallenges, HIV/AIDS prevalence]
-
A.
publicHealthDomain
Indicates that something is related to, situated within, or primarily concerned with the field of public health.
-
B.
hasHealthArea
Indicates that an entity is associated with, or falls within the scope of, a particular health-related domain or area of concern.
-
C.
coordinatesInternationalHealth
Indicates organizing and aligning health-related activities, policies, or responses across multiple countries or international bodies.
-
D.
concernsRegion
chosen
Indicates that something is about, relates to, or is specifically associated with a particular geographic or administrative region.
-
E.
healthAssociation
Indicates a relationship where one factor, condition, or entity is linked to an effect, outcome, or status related to health.
- 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_69e75a88fdf081908e47ae6e195c14e1 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f6a28c7c148190bfc980aad9f678ca |
completed | May 3, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69f69fe1e3c88190830bb2e9f407357e |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 21, 2026, 12:34 p.m.