Triple
T16284949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dracunculus medinensis |
E395364
|
entity |
| Predicate | diseaseBurden |
P69338
|
FINISHED |
| Object | causes significant morbidity rather than mortality |
—
|
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: causes significant morbidity rather than mortality | Statement: [Dracunculus medinensis, diseaseBurden, causes significant morbidity rather than mortality]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: diseaseBurden Context triple: [Dracunculus medinensis, diseaseBurden, causes significant morbidity rather than mortality]
-
A.
diseaseBurdenType
chosen
Indicates the type or category of burden (e.g., mortality, morbidity, economic impact) that a disease imposes.
-
B.
diseaseVector
Indicates that one entity serves as a carrier or transmitter that spreads a disease-causing agent to another entity.
-
C.
epidemiologicalStatus
Indicates the health-related condition or disease state of an entity within an epidemiological context, such as being infected, susceptible, recovered, or exposed.
-
D.
diseaseType
Indicates that one entity is classified as a specific type or category of disease in relation to another entity.
-
E.
hasEpidemiologyFeature
Indicates that an entity possesses a specific epidemiological characteristic or attribute related to the occurrence, distribution, or determinants of health conditions.
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24913a55081909a9a5a7a7f4806cc |
completed | April 17, 2026, 2:52 p.m. |
| PD | Predicate disambiguation | batch_69e219f68d308190b71c1601303f0628 |
completed | April 17, 2026, 11:31 a.m. |
Created at: April 10, 2026, 5:05 a.m.