Triple
T17357580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | savings and loan crisis of the 1980s |
E421978
|
entity |
| Predicate | approximateCostToTaxpayers |
P4259
|
FINISHED |
| Object | hundreds of billions of U.S. dollars |
—
|
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: hundreds of billions of U.S. dollars | Statement: [savings and loan crisis of the 1980s, approximateCostToTaxpayers, hundreds of billions of U.S. dollars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateCostToTaxpayers Context triple: [savings and loan crisis of the 1980s, approximateCostToTaxpayers, hundreds of billions of U.S. dollars]
-
A.
economicCost
Indicates the financial burden, expense, or resource expenditure associated with an action, event, or relationship between entities.
-
B.
costToUser
Indicates the amount of cost or expense that is borne by, charged to, or incurred by the user.
-
C.
estimatedCost
chosen
Indicates the predicted or calculated monetary amount expected to be required for something, such as a project, item, or action.
-
D.
programCost
Indicates the monetary or resource expenditure required to implement, run, or participate in a particular program.
-
E.
policingCost
Indicates the financial or resource expenditure required to provide policing or law-enforcement services for a given entity, area, or activity.
- 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a4976788190b00c00f710be6c46 |
completed | April 19, 2026, 2:13 a.m. |
| PD | Predicate disambiguation | batch_69e3b02662d08190a07d0fb5c04b6f33 |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:44 a.m.