Triple
T2792447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GNU Privacy Guard |
E61959
|
entity |
| Predicate | supportsAlgorithm |
P203
|
FINISHED |
| Object | ECDSA |
E195587
|
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: ECDSA | Statement: [GNU Privacy Guard, supportsAlgorithm, ECDSA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ECDSA Context triple: [GNU Privacy Guard, supportsAlgorithm, ECDSA]
-
A.
Elliptic Curve Digital Signature Algorithm
chosen
Elliptic Curve Digital Signature Algorithm is a public-key cryptographic method that uses elliptic curve mathematics to create compact, secure digital signatures for authentication and data integrity.
-
B.
Ed25519
Ed25519 is a high-speed, high-security elliptic-curve digital signature scheme widely used in modern cryptographic protocols and software.
-
C.
ECC
ECC is a public-key cryptography approach that uses the mathematics of elliptic curves to provide strong security with relatively small key sizes.
-
D.
ECC
ECC is the National Rail station code for Eccles railway station in Greater Manchester, England.
-
E.
ECC
The ECC is Pakistan’s top economic decision-making body, responsible for key fiscal and economic policy approvals within the federal government.
- 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_69ab4b7f51d881908768300ebd2fbdae |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddd107ac81908eb1a6946834eee3 |
completed | March 7, 2026, 8:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc65ebe788190859012e930918b05 |
completed | March 10, 2026, 7:21 a.m. |
Created at: March 6, 2026, 9:58 p.m.