Triple
T5926942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katwa |
E131834
|
entity |
| Predicate | epidemicControlMeasures |
P58395
|
FINISHED |
| Object | vaccination campaigns |
—
|
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: vaccination campaigns | Statement: [Katwa, epidemicControlMeasures, vaccination campaigns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: epidemicControlMeasures Context triple: [Katwa, epidemicControlMeasures, vaccination campaigns]
-
A.
epidemicControlActivities
chosen
Indicates actions or measures undertaken to prevent, contain, or mitigate the spread and impact of an epidemic.
-
B.
epidemicImpact
Indicates the extent and nature of how an epidemic affects entities, such as populations, regions, or systems.
-
C.
epidemicScale
Indicates that an event, condition, or phenomenon occurs with such widespread prevalence and rapid spread that it reaches an epidemic level in scale.
-
D.
publicHealthEmergencyOfInternationalConcern
Indicates that a health event is so serious, sudden, unusual, or unexpected that it poses a public health risk to other countries and may require a coordinated international response.
-
E.
epidemicType
Indicates the classification of an epidemic according to its nature, pattern, or mode of spread.
- 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_69c0085b75e88190a632f9691f9da48b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03c9239e08190bff7ef2bd6d21ae0 |
completed | March 22, 2026, 7:01 p.m. |
| PD | Predicate disambiguation | batch_69c033541d108190a34d1fde2fe9dacb |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 4 p.m.