Triple
T4560231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Legal Tender Act of 1862 |
E120573
|
entity |
| Predicate | initialAuthorizedAmount |
P7930
|
FINISHED |
| Object | 150000000 United States 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: 150000000 United States dollars | Statement: [Legal Tender Act of 1862, initialAuthorizedAmount, 150000000 United States dollars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: initialAuthorizedAmount Context triple: [Legal Tender Act of 1862, initialAuthorizedAmount, 150000000 United States dollars]
-
A.
authorizedBondAmount
Indicates the maximum bond value that has been formally approved or permitted for issuance or use in a given context.
-
B.
initialSubscribedCapital
Indicates the amount of capital that parties commit to subscribe at the outset of an agreement, organization, or financial arrangement.
-
C.
maximumGrantAmount
Indicates the highest monetary value that can be awarded or granted under a specific grant, program, or agreement.
-
D.
authorizedSpending
chosen
Indicates that an entity has been granted permission to spend or allocate a specified amount of resources, typically funds, under defined conditions.
-
E.
feeTypeAuthorized
Indicates that a particular type of fee is permitted or approved for use in a given context or relationship.
- 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_69bd4636f1648190a701445c2fcd9c17 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd582b871c8190be0b70c76d639000 |
completed | March 20, 2026, 2:22 p.m. |
| PD | Predicate disambiguation | batch_69bd52254c648190a5144cfe8fa7e409 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:09 p.m.