Triple
T22699499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walkerton E. coli outbreak |
E561275
|
entity |
| Predicate | numberOfPeopleMadeIll |
P54084
|
FINISHED |
| Object | over 2000 |
—
|
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: over 2000 | Statement: [Walkerton E. coli outbreak, numberOfPeopleMadeIll, over 2000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPeopleMadeIll Context triple: [Walkerton E. coli outbreak, numberOfPeopleMadeIll, over 2000]
-
A.
numberOfHospitalized
Indicates the count of individuals who have been admitted to a hospital for medical care.
-
B.
estimatedAffectedPeople
chosen
Indicates the estimated number of people expected to be impacted by a particular event, condition, or action.
-
C.
numberOfSuspectedCases
Indicates the quantity of cases that are believed or suspected to exist but are not yet confirmed.
-
D.
affectedPeople
Indicates the people who are impacted or influenced by a particular event, action, or condition.
-
E.
numberOfSuspectedVictims
Indicates the count of individuals believed or alleged to be victims in a particular incident, case, or context.
- 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_69e2454e615481909c177440be559d2c |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f178c944748190a0712983f7059114 |
completed | April 29, 2026, 3:19 a.m. |
| PD | Predicate disambiguation | batch_69ee62bd657c81909f7b01245b080a5f |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:15 p.m.