Triple
T7339664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pandemic and All-Hazards Preparedness Act |
E169214
|
entity |
| Predicate | responseScope |
P77202
|
FINISHED |
| Object | all-hazards approach |
—
|
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: all-hazards approach | Statement: [Pandemic and All-Hazards Preparedness Act, responseScope, all-hazards approach]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: responseScope Context triple: [Pandemic and All-Hazards Preparedness Act, responseScope, all-hazards approach]
-
A.
reviewScope
Indicates the extent, boundaries, or aspects of something that are covered, considered, or evaluated during a review.
-
B.
responseField
Indicates that a particular piece of information is included as part of a response or output structure.
-
C.
participantScope
Indicates the extent, range, or set of participants that are involved in or affected by a given relationship or action.
-
D.
responseTool
Indicates a tool, method, or mechanism used to produce, deliver, or manage a response in a given context.
-
E.
coverageScope
Indicates the extent or range of entities, conditions, or situations that are included under a particular coverage or applicability.
- 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.