Triple
T32524076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | COVID-19 pandemic in Belgium |
E831261
|
entity |
| Predicate | firstConfirmedCases |
P206300
|
FINISHED |
| Object | 2020-02-04 |
—
|
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: 2020-02-04 | Statement: [COVID-19 pandemic in Belgium, firstConfirmedCases, 2020-02-04]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstConfirmedCases Context triple: [COVID-19 pandemic in Belgium, firstConfirmedCases, 2020-02-04]
-
A.
officiallyConfirmedIn
Indicates that something has been formally acknowledged or validated within an official document, statement, or process.
-
B.
numberOfSuspectedCases
Indicates the quantity of cases that are believed or suspected to exist but are not yet confirmed.
-
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.
lastEndemicCaseCountry
Indicates the country in which the most recent known endemic case of a disease or condition occurred.
-
E.
globalCasesEstimate
Indicates an estimated total number of cases of a phenomenon or condition across all regions worldwide.
- 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_69f34923e1548190be0524205d8cdf8f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379edf2d88190b492fca86ed23cac |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7fb9f88190b384b1b68200aef0 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:01 a.m.