Triple
T1613497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Satoshi Nakamoto |
E34660
|
entity |
| Predicate | estimatedBitcoinHoldings |
P20770
|
FINISHED |
| Object | hundreds of thousands of BTC |
—
|
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 thousands of BTC | Statement: [Satoshi Nakamoto, estimatedBitcoinHoldings, hundreds of thousands of BTC]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: estimatedBitcoinHoldings Context triple: [Satoshi Nakamoto, estimatedBitcoinHoldings, hundreds of thousands of BTC]
-
A.
netWorthStatus
Indicates the financial standing or wealth level of an entity relative to defined net worth categories or thresholds.
-
B.
currencyOfPurse
Indicates the type of currency that is contained in or associated with a given purse.
-
C.
numberOfHoldings
Indicates the quantity of distinct holdings or assets associated with an entity.
-
D.
monetaryValue
Indicates the amount of money associated with an entity, event, or transaction.
-
E.
hasCoins
chosen
Indicates that an entity possesses or holds one or more coins.
- 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_69a885ffc5ec819091afa325d5f9611c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a93fef600c819080fe75c42c8e6dac |
completed | March 5, 2026, 8:33 a.m. |
| PD | Predicate disambiguation | batch_69a907c52a548190b648a31ea306dd5b |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:28 p.m.