Triple
T32498287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Message-Digest Algorithm 5 |
E830584
|
entity |
| Predicate | initialValueRegisterA |
P183746
|
FINISHED |
| Object | 0x67452301 |
—
|
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: 0x67452301 | Statement: [Message-Digest Algorithm 5, initialValueRegisterA, 0x67452301]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: initialValueRegisterA Context triple: [Message-Digest Algorithm 5, initialValueRegisterA, 0x67452301]
-
A.
officialRegisterOf
Indicates that one entity serves as the authoritative, formally maintained record or registry for another entity.
-
B.
registrationOf
Indicates that one entity is the formal record or enrollment of another entity in an official system, registry, or process.
-
C.
typicalRegister
Indicates the usual or most common linguistic register (e.g., formal, informal, technical) in which something—such as a word, expression, or communication—is typically used.
-
D.
relatedRegister
Indicates a relationship where one entity is associated with, linked to, or corresponds to a particular register or record in a system.
-
E.
previousRegistration
Indicates that an entity has been registered at an earlier time or in a prior instance relative to the current context.
- 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_69f349219cb8819087e120f509629c1b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7a283388c81908e4a9ee3369e8d6f |
completed | May 3, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69f7a06d4f108190bae3ab9ae431d2c7 |
completed | May 3, 2026, 7:22 p.m. |
| PDg | Predicate description generation | batch_69f7a224365081908ff6958e3b30bd05 |
completed | May 3, 2026, 7:29 p.m. |
Created at: May 1, 2026, 12:59 a.m.