Triple
T4131946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guéckédou Prefecture |
E85059
|
entity |
| Predicate | epidemicMainYears |
P19548
|
FINISHED |
| Object | 2014–2016 |
—
|
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: 2014–2016 | Statement: [Guéckédou Prefecture, epidemicMainYears, 2014–2016]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: epidemicMainYears Context triple: [Guéckédou Prefecture, epidemicMainYears, 2014–2016]
-
A.
majorCrisisYear
chosen
Indicates the year in which a major crisis occurred or was most prominently manifested.
-
B.
epidemiology
Indicates the study and analysis of how diseases or health-related conditions are distributed and spread within populations, and the factors influencing these patterns.
-
C.
initiallyEndemicCountries
Indicates the set of countries in which something (typically a disease or species) was originally endemic at the start of the period or process being considered.
-
D.
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.
-
E.
worldHealthOrganizationEULDate
Indicates the date on which the World Health Organization granted Emergency Use Listing (EUL) status to a given product or intervention.
- 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_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. |
Created at: March 9, 2026, 3:42 p.m.