Triple
T26658873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emergency Economic Stabilization Act of 2008 |
E666583
|
entity |
| Predicate | crisisAddressed |
P161098
|
FINISHED |
| Object | subprime mortgage crisis |
—
|
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: subprime mortgage crisis | Statement: [Emergency Economic Stabilization Act of 2008, crisisAddressed, subprime mortgage crisis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: crisisAddressed Context triple: [Emergency Economic Stabilization Act of 2008, crisisAddressed, subprime mortgage crisis]
-
A.
crisisRelatedTo
Indicates a relationship where one situation, event, or condition is connected to, associated with, or relevant to a crisis.
-
B.
crisisManagement
Indicates the relationship in which an entity plans for, responds to, and mitigates the impact of disruptive or emergency situations.
-
C.
crisisContext
Indicates that the relationship or action occurs within, is shaped by, or is specifically relevant to a crisis situation or emergency context.
-
D.
hasCrisisOf
Indicates that an entity is experiencing or undergoing a crisis specifically related to another entity or concept.
-
E.
typeOfCrisis
Indicates the specific category or nature of a crisis that an entity is experiencing or associated with.
- 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_69ee9cf8c7188190b9b00270a8a89164 |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f616bcf5048190abf0152a1760641c |
completed | May 2, 2026, 3:22 p.m. |
| PD | Predicate disambiguation | batch_69f60b8bb0d08190ab5a9a2a8847c6f4 |
completed | May 2, 2026, 2:34 p.m. |
| PDg | Predicate description generation | batch_69f60f24ed608190bffe6c6084fc2f7a |
completed | May 2, 2026, 2:50 p.m. |
Created at: April 27, 2026, 2:36 a.m.