Triple
T35310106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Höfle Telegram |
E1019745
|
entity |
| Predicate | totalNumberReported |
P117738
|
FINISHED |
| Object | 1274166 |
—
|
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: 1274166 | Statement: [Höfle Telegram, totalNumberReported, 1274166]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalNumberReported Context triple: [Höfle Telegram, totalNumberReported, 1274166]
-
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.
globalCasesEstimate
Indicates an estimated total number of cases of a phenomenon or condition across all regions worldwide.
-
D.
numberOfHospitalized
Indicates the count of individuals who have been admitted to a hospital for medical care.
-
E.
dataReportedAs
chosen
Indicates that specific information has been communicated or recorded in a particular stated form, value, or representation.
- 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_69f76de8b4c48190ae504b86185c474c |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd13595c81908719f52c3d37a7e8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:03 p.m.