Triple
T5479214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 3DES |
E123429
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | DES |
E171105
|
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: DES | Statement: [3DES, basedOn, DES]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DES Context triple: [3DES, basedOn, DES]
-
A.
DES
chosen
DES (Data Encryption Standard) is a now-obsolete symmetric-key block cipher that was once a widely used U.S. government encryption standard but fell out of favor due to its relatively short key length and vulnerability to brute-force attacks.
-
B.
DES
DES is a large astronomical survey project that maps hundreds of millions of galaxies to study dark energy and the expansion history of the universe.
-
C.
DESE
DESE is the state agency responsible for overseeing public elementary and secondary education in Massachusetts, including standards, accountability, and school support.
-
D.
SDES
SDES (Session Description Protocol Security Descriptions) is a key management mechanism used to negotiate and convey cryptographic parameters for securing media streams in real-time communication protocols.
-
E.
DS
DS is the standardized Diploma Supplement used across the European Higher Education Area to provide transparent, comparable information about higher education qualifications.
- 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_69bd4648883481909e9775d43300c5fa |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd9247a16c8190ac5a02534da48853 |
completed | March 20, 2026, 6:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf48a001c081909b0e9f1b36fd10db |
completed | March 22, 2026, 1:40 a.m. |
Created at: March 20, 2026, 2:09 p.m.