Triple
T7934653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ElGamal |
E184257
|
entity |
| Predicate | messageSpace |
P79866
|
FINISHED |
| Object | elements of the underlying group or encoded messages |
—
|
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: elements of the underlying group or encoded messages | Statement: [ElGamal, messageSpace, elements of the underlying group or encoded messages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: messageSpace Context triple: [ElGamal, messageSpace, elements of the underlying group or encoded messages]
-
A.
messageHandling
Indicates how messages are received, processed, and responded to within a communication or messaging system.
-
B.
namedSpace
Indicates that an entity has been assigned or is associated with a specific name within a particular namespace or naming context.
-
C.
centralMessage
Indicates the primary idea or core point that a communication, text, or message is intended to convey.
-
D.
passwordSpace
Indicates the set of all possible passwords that can be formed under a given password policy or constraints.
-
E.
intendedMessage
Indicates that one entity is the message or content that another entity aims or plans to communicate.
- F. None of above. chosen
Provenance (4 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_69ca8290c21c8190906a5ca6fe2b03c4 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3aeb132c8190bea4906aaf51b869 |
completed | March 31, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69cae9335f288190ba96781fd6576a2b |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf7882b048190baa333af9f698590 |
completed | March 30, 2026, 10:22 p.m. |
Created at: March 30, 2026, 5:08 p.m.