Triple
T34715891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plasmodium falciparum malaria |
E1000769
|
entity |
| Predicate | hasHighestBurdenIn |
P199134
|
FINISHED |
| Object | sub-Saharan Africa |
—
|
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: sub-Saharan Africa | Statement: [Plasmodium falciparum malaria, hasHighestBurdenIn, sub-Saharan Africa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHighestBurdenIn Context triple: [Plasmodium falciparum malaria, hasHighestBurdenIn, sub-Saharan Africa]
-
A.
hasHighest
Indicates that one entity possesses the greatest value, rank, or level in a specified attribute or set compared to all others.
-
B.
hasHighestCity
Indicates that one entity possesses or contains the city with the greatest value according to some ranking criterion (e.g., highest population, elevation, or status) among a set of cities.
-
C.
hasHigherPopulationDensityThan
Indicates that the first entity has a greater number of inhabitants per unit area than the second entity.
-
D.
hasHighestAreas
Indicates that the subject possesses the largest or most extensive areas compared to other relevant entities or regions.
-
E.
hasHighestUrbanizationRateIn
Indicates that the subject has the greatest proportion of its population living in urban areas compared to all other entities within the specified object region or group.
- 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_69f76dad3f108190a280fd0a2f4ee89a |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69ff21cbd9108190a52c0ba42004c669 |
completed | May 9, 2026, noon |
| PD | Predicate disambiguation | batch_69ff1faea91881908c626c70bca5100a |
completed | May 9, 2026, 11:51 a.m. |
| PDg | Predicate description generation | batch_69ff21ca6964819088bdf1810b7863f2 |
completed | May 9, 2026, noon |
Created at: May 3, 2026, 3:59 p.m.