Triple
T82476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Salvador |
E1657
|
entity |
| Predicate | legalTender |
P2878
|
FINISHED |
| Object | Bitcoin |
E5715
|
NE 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: Bitcoin | Statement: [El Salvador, legalTender, Bitcoin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bitcoin Context triple: [El Salvador, legalTender, Bitcoin]
-
A.
Bitcoin
chosen
Bitcoin is a decentralized digital cryptocurrency that operates without a central bank, enabling peer-to-peer transactions secured by blockchain technology.
-
B.
Money
Money is a personal finance magazine and media brand that provides advice and information on investing, saving, budgeting, and financial planning for consumers.
-
C.
PayPal
PayPal is a leading global online payment platform that enables individuals and businesses to send, receive, and manage digital payments securely over the internet.
-
D.
Money Factory
Money Factory is the popular nickname for the U.S. Bureau of Engraving and Printing, the federal agency responsible for designing and producing U.S. paper currency.
-
E.
RSA
RSA is a widely used public-key cryptographic algorithm that enables secure key exchange and digital signatures in many internet security protocols.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a24c8150408190910a693eb51c1f71 |
completed | Feb. 28, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69a2567c90308190a9b989c586f7e559 |
completed | Feb. 28, 2026, 2:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a25abdf36c819087c4be57bd8ce8c5 |
completed | Feb. 28, 2026, 3:02 a.m. |
Created at: Feb. 28, 2026, 2:06 a.m.