Triple
T32498312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Message-Digest Algorithm 5 |
E830584
|
entity |
| Predicate | outputEncodingCommonlyUsed |
P33682
|
FINISHED |
| Object | hexadecimal |
—
|
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: hexadecimal | Statement: [Message-Digest Algorithm 5, outputEncodingCommonlyUsed, hexadecimal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: outputEncodingCommonlyUsed Context triple: [Message-Digest Algorithm 5, outputEncodingCommonlyUsed, hexadecimal]
-
A.
localEncoding
Indicates that an entity is represented or stored using a specific encoding scheme that is defined or applied locally within a particular context or system.
-
B.
encodingAbstraction
Indicates an abstraction relationship where one representation or model encodes, summarizes, or symbolically captures the structure or information content of another.
-
C.
dataEncodingMethod
chosen
Indicates the specific technique or format used to encode data for storage, transmission, or processing.
-
D.
colorEncoding
Indicates how the color information of an entity is represented, formatted, or encoded.
-
E.
requestEncoding
Indicates that one entity asks another to use or provide a specific encoding format for data or communication.
- F. None of above.
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_69f349219cb8819087e120f509629c1b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c4409dc48190a9eac031b88571a1 |
completed | May 3, 2026, 3:42 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2a14b081908162923dfbf0a6f4 |
completed | May 3, 2026, 3:12 a.m. |
Created at: May 1, 2026, 12:59 a.m.