Triple
T33029287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Client-To-Client Protocol |
E845119
|
entity |
| Predicate | messageDelimiter |
P38006
|
FINISHED |
| Object | ASCII 0x01 character |
—
|
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: ASCII 0x01 character | Statement: [Client-To-Client Protocol, messageDelimiter, ASCII 0x01 character]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: messageDelimiter Context triple: [Client-To-Client Protocol, messageDelimiter, ASCII 0x01 character]
-
A.
blockDelimiter
chosen
Indicates that one entity serves as a boundary marker that starts, ends, or separates a logical block associated with another entity.
-
B.
postDelimitation
Indicates that the related action, status, or condition occurs after a specified boundary, cutoff point, or delimiting event.
-
C.
templateDelimiter
Indicates that one element serves as a boundary or separator within a template structure for another element.
-
D.
messageSpace
Indicates a relationship where one entity provides or occupies a space or channel through which messages can be sent, stored, or exchanged between parties.
-
E.
messageLengthSymbol
Indicates that a symbolic representation is used to denote or categorize the length of a message.
- 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_69f34950749c8190ae05cd27adb16d58 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d6a6b04c8190bee4cf9c00665ef7 |
completed | May 3, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69f6d27120988190aacec621cf2bf0e8 |
completed | May 3, 2026, 4:43 a.m. |
Created at: May 1, 2026, 1:24 a.m.