Triple
T4131965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meliandou |
E85060
|
entity |
| Predicate | publicHealthSignificance |
P54025
|
FINISHED |
| Object | site of earliest detected human cases in the largest recorded Ebola outbreak |
—
|
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: site of earliest detected human cases in the largest recorded Ebola outbreak | Statement: [Meliandou, publicHealthSignificance, site of earliest detected human cases in the largest recorded Ebola outbreak]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicHealthSignificance Context triple: [Meliandou, publicHealthSignificance, site of earliest detected human cases in the largest recorded Ebola outbreak]
-
A.
publicHealthResponse
Indicates actions and measures taken by authorities or organizations to prevent, control, or mitigate health threats within a population.
-
B.
hasClinicalSignificance
Indicates that something (such as a finding, variant, or condition) has a meaningful impact or relevance in a clinical or medical context.
-
C.
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.
-
D.
healthEffect
Indicates the impact or consequence that one entity has on the health or well-being of another.
-
E.
healthIndicator
Indicates a measure or signal that reflects the health status or condition of an entity.
- 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_69aed935ccd881909dc61f81bcdb7a78 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af03a0f3408190adba7a8513bd3d12 |
completed | March 9, 2026, 5:30 p.m. |
| PD | Predicate disambiguation | batch_69af01883b6c8190a482ead589a131a5 |
completed | March 9, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69af039fb19c8190b20e62a3b3ad25c1 |
completed | March 9, 2026, 5:30 p.m. |
Created at: March 9, 2026, 3:42 p.m.