Triple
T154561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WHO Regional Office for Africa |
E3149
|
entity |
| Predicate | coordinatesInternationalHealth |
P7711
|
FINISHED |
| Object | public health policy in African countries |
—
|
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: public health policy in African countries | Statement: [WHO Regional Office for Africa, coordinatesInternationalHealth, public health policy in African countries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coordinatesInternationalHealth Context triple: [WHO Regional Office for Africa, coordinatesInternationalHealth, public health policy in African countries]
-
A.
isInternational
Indicates that something has a connection to, involves, or extends across more than one country.
-
B.
hasInternationalAirport
Indicates that a place possesses an airport that handles international flights and services cross-border air traffic.
-
C.
capitalOfCountryServed
Indicates that a city serves as the capital of a given country.
-
D.
countryPartner
Indicates a formal partnership relationship between two countries, such as cooperation, alliance, or strategic collaboration.
-
E.
historicalContactWith
Indicates that two entities have interacted or been in communication with each other at some point in the past.
- 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_69a2527757ec819090b8becb2cf1a862 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a258e0b11c8190b7b5cf3c354c47ce |
completed | Feb. 28, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69a2565c727c8190bca9ba6ca52f216a |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a258de46888190835db2b21a093eaa |
completed | Feb. 28, 2026, 2:54 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.