Triple
T19156550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beni Territory |
E468940
|
entity |
| Predicate | hasPublicHealthIssue |
P4720
|
FINISHED |
| Object | Ebola outbreaks in the wider Beni region |
—
|
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: Ebola outbreaks in the wider Beni region | Statement: [Beni Territory, hasPublicHealthIssue, Ebola outbreaks in the wider Beni region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPublicHealthIssue Context triple: [Beni Territory, hasPublicHealthIssue, Ebola outbreaks in the wider Beni region]
-
A.
hasHealthConcern
chosen
Indicates that an entity has a specific health-related issue, condition, or concern associated with it.
-
B.
hasHealthCode
Indicates that an entity is associated with a specific health-related classification or status code.
-
C.
hasPublicHealthInfrastructure
Indicates that an entity possesses systems, facilities, and organizational structures dedicated to protecting and promoting public health.
-
D.
publicHealthResponse
Indicates actions and measures taken by authorities or organizations to prevent, control, or mitigate health threats within a population.
-
E.
hasAssociatedDisease
Indicates that an entity is linked to, or commonly occurs with, a particular disease or medical condition.
- 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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5eeb9cf9081908b17073755e83554 |
completed | April 20, 2026, 9:15 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b475d88190a8c15e8eb01dbfef |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:06 p.m.