Triple
T5117757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalunguta |
E115378
|
entity |
| Predicate | hasEpidemiologicalStatus |
P54026
|
FINISHED |
| Object | former Ebola transmission hotspot |
—
|
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: former Ebola transmission hotspot | Statement: [Kalunguta, hasEpidemiologicalStatus, former Ebola transmission hotspot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEpidemiologicalStatus Context triple: [Kalunguta, hasEpidemiologicalStatus, former Ebola transmission hotspot]
-
A.
epidemiologicalStatus
chosen
Indicates the health-related condition or disease state of an entity within an epidemiological context, such as being infected, susceptible, recovered, or exposed.
-
B.
hasPopulationStatus
Indicates the current demographic condition or classification of a population associated with an entity.
-
C.
epidemiologicalRole
Indicates the role or function an entity plays within an epidemiological context, such as its part in the occurrence, transmission, or control of disease.
-
D.
epidemicType
Indicates the classification of an epidemic according to its nature, pattern, or mode of spread.
-
E.
hasSurvivalStatus
Indicates the survival condition or outcome associated with an entity, such as whether it is alive, deceased, or in another defined survival state.
- 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_69bd4441d1648190a54a533895041987 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7d5a23908190a24e79d1b29d6fcf |
completed | March 20, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69bd77aa68b88190a50dd736a72d2901 |
completed | March 20, 2026, 4:36 p.m. |
Created at: March 20, 2026, 1:41 p.m.