Triple
T7820824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reconstruction Finance Corporation Act |
E181122
|
entity |
| Predicate | allowedBorrowingLimit |
P25545
|
FINISHED |
| Object | $1,500,000,000 |
—
|
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: $1,500,000,000 | Statement: [Reconstruction Finance Corporation Act, allowedBorrowingLimit, $1,500,000,000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allowedBorrowingLimit Context triple: [Reconstruction Finance Corporation Act, allowedBorrowingLimit, $1,500,000,000]
-
A.
canBorrowFrom
Indicates that one entity is permitted or able to borrow something (such as resources, items, or privileges) from another entity.
-
B.
isLimitOf
Indicates that one quantity, function, or sequence approaches a particular value as its input or index approaches some specified point or condition.
-
C.
loanLimitType
chosen
Indicates the category or rule that defines how a loan’s maximum allowable amount or terms are limited.
-
D.
hasBorrowingsFrom
Indicates that one entity has taken, adopted, or derived elements (such as features, ideas, or content) from another entity.
-
E.
rideLimit
Indicates a constraint on the maximum number, duration, or frequency of rides permitted for an entity.
- 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_69ca828153f48190bdb27ac46f8e0745 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cafa06d28881908d62d4c02b45cedd |
completed | March 30, 2026, 10:32 p.m. |
| PD | Predicate disambiguation | batch_69cae91ae008819098e56bbe51143b31 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:41 p.m.