Triple
T14015240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bonus Bill of 1817 |
E337186
|
entity |
| Predicate | amountOfFund |
P108455
|
FINISHED |
| Object | 1,500,000 dollars per year (approximately) |
—
|
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 dollars per year (approximately) | Statement: [Bonus Bill of 1817, amountOfFund, 1,500,000 dollars per year (approximately)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: amountOfFund Context triple: [Bonus Bill of 1817, amountOfFund, 1,500,000 dollars per year (approximately)]
-
A.
endowmentAmount
chosen
Indicates the specific monetary value or quantity provided as an endowment in the relationship.
-
B.
approximateFundsRaised
Indicates an estimated amount of money that has been raised, rather than an exact or final total.
-
C.
funds
Indicates that one entity provides financial resources or monetary support to another entity or activity.
-
D.
usedFund
Indicates that one entity expended or applied a particular fund or financial resource for some purpose.
-
E.
totalInvestment
Indicates the overall amount of resources (typically money) committed to a particular entity, project, or activity, aggregating all individual investments involved.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f396b648190927e5718c3bb6511 |
completed | April 14, 2026, 12:12 p.m. |
| PD | Predicate disambiguation | batch_69de05a802ac819090604025aae6a4d5 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:19 p.m.