Triple
T13273699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Countrywide Financial |
E316131
|
entity |
| Predicate | consequenceOfCrisis |
P25894
|
FINISHED |
| Object | sharp rise in mortgage delinquencies |
—
|
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: sharp rise in mortgage delinquencies | Statement: [Countrywide Financial, consequenceOfCrisis, sharp rise in mortgage delinquencies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: consequenceOfCrisis Context triple: [Countrywide Financial, consequenceOfCrisis, sharp rise in mortgage delinquencies]
-
A.
subsequentCrisis
Indicates that one crisis occurs after and as a consequence or continuation of another earlier crisis.
-
B.
crisisRelatedTo
chosen
Indicates a relationship where one situation, event, or condition is connected to, associated with, or relevant to a crisis.
-
C.
consequenceOfDestruction
Indicates that one event, state, or condition occurs as a direct result of a prior act of destruction.
-
D.
majorCrisis
Indicates a severe, high-impact crisis or emergency situation affecting an entity or system.
-
E.
typeOfCrisis
Indicates the specific category or nature of a crisis that an entity is experiencing or associated with.
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6535688190a5a4549b7be2d611 |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:26 p.m.