Triple
T32271712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | diphtheria |
E824428
|
entity |
| Predicate | isNotifiableDiseaseIn |
P173907
|
FINISHED |
| Object | many countries worldwide |
—
|
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: many countries worldwide | Statement: [diphtheria, isNotifiableDiseaseIn, many countries worldwide]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNotifiableDiseaseIn Context triple: [diphtheria, isNotifiableDiseaseIn, many countries worldwide]
-
A.
outbreakDisease
Indicates that a disease begins to spread rapidly within a population or area, marking the start of an outbreak.
-
B.
diseaseVector
Indicates that one entity serves as a carrier or transmitter that spreads a disease-causing agent to another entity.
-
C.
OIEListedDisease
Indicates that a disease is included on the official list of notifiable animal diseases maintained by the World Organisation for Animal Health (OIE/WOAH).
-
D.
causesDiseaseType
Indicates that one entity is responsible for causing a specific type or category of disease in another entity.
-
E.
hasTargetDisease
Indicates that an entity (such as a treatment, study, or intervention) is directed toward, intended to affect, or primarily concerned with a specified disease.
- 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_69f3490e73588190915f282edd105772 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bc89010c8190982399d265f171ac |
completed | May 3, 2026, 3:10 a.m. |
| PD | Predicate disambiguation | batch_69f6b632cf788190a3d0c08cd026b84b |
completed | May 3, 2026, 2:42 a.m. |
| PDg | Predicate description generation | batch_69f6b960ca4081909a77690c2b122f5e |
completed | May 3, 2026, 2:56 a.m. |
Created at: May 1, 2026, 12:42 a.m.