Triple
T7339665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pandemic and All-Hazards Preparedness Act |
E169214
|
entity |
| Predicate | emergencyTypesCovered |
P77203
|
FINISHED |
| Object | infectious disease outbreaks |
—
|
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: infectious disease outbreaks | Statement: [Pandemic and All-Hazards Preparedness Act, emergencyTypesCovered, infectious disease outbreaks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emergencyTypesCovered Context triple: [Pandemic and All-Hazards Preparedness Act, emergencyTypesCovered, infectious disease outbreaks]
-
A.
emergencyDefinitionSection
Indicates a section that defines or explains what constitutes an emergency within a given context or document.
-
B.
typeOfEmergencyService
Indicates the specific category or kind of emergency service associated with or provided in a given situation.
-
C.
emergencyService
Indicates that one entity provides or is associated with urgent, time-critical assistance or response to another entity in emergency situations.
-
D.
emergencyResponse
Indicates a relationship where an entity takes immediate action to address or manage an urgent or critical situation.
-
E.
emergencyEvent
Indicates that an urgent, unexpected, and potentially harmful situation or incident has occurred requiring immediate attention or response.
- 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_69c68a57710481909f0c1f3c6ebdb6f2 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f347f25081908e6086d4073295f5 |
completed | March 27, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69c6f028fd748190b2ea5c3081958a42 |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f3463d0481908aed9ed43a8ac6a8 |
completed | March 27, 2026, 9:14 p.m. |
Created at: March 27, 2026, 3:04 p.m.