Triple
T107495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | establishment of the First Bank of the United States |
E2170
|
entity |
| Predicate | capitalizationAmount |
P482
|
FINISHED |
| Object | 10 million 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: 10 million dollars | Statement: [establishment of the First Bank of the United States, capitalizationAmount, 10 million dollars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capitalizationAmount Context triple: [establishment of the First Bank of the United States, capitalizationAmount, 10 million dollars]
-
A.
monetaryValue
chosen
Indicates the amount of money associated with an entity, event, or transaction.
-
B.
capital
Indicates that one place serves as the official seat of government or primary administrative center for another political entity.
-
C.
totalAidAmountAdjusted
Indicates the total amount of aid provided, after applying any relevant adjustments such as corrections, discounts, or recalculations.
-
D.
totalAidAmountUSD
Indicates the total monetary value of aid provided, expressed in U.S. dollars.
-
E.
hasCapital
Indicates that a place or political entity has a specific city designated as its capital.
- 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_69a24fcdaeb48190a2d796677e4b3281 |
completed | Feb. 28, 2026, 2:15 a.m. |
| NER | Named-entity recognition | batch_69a25a1199ac8190ac65ffaaf45b4f5b |
completed | Feb. 28, 2026, 2:59 a.m. |
| PD | Predicate disambiguation | batch_69a2563e7188819091e9a94e071991d7 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:20 a.m.