Triple
T10050100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DATA command |
E207722
|
entity |
| Predicate | hasReplyExample |
P1259
|
FINISHED |
| Object | 354 Start mail input; end with <CRLF>.<CRLF> |
—
|
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: 354 Start mail input; end with <CRLF>.<CRLF> | Statement: [DATA command, hasReplyExample, 354 Start mail input; end with <CRLF>.<CRLF>]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReplyExample Context triple: [DATA command, hasReplyExample, 354 Start mail input; end with <CRLF>.<CRLF>]
-
A.
hasExample
chosen
Indicates that one entity serves as an instance, illustration, or concrete example of another entity.
-
B.
hasNonExample
Indicates that something is associated with an instance that explicitly does not satisfy or illustrate a given concept, rule, or category.
-
C.
hasAwardedForExamples
Indicates that one entity has given an award to another entity specifically in recognition of certain examples or illustrative works.
-
D.
backendExample
Indicates that something serves as an example or illustrative instance within a backend or server-side context.
-
E.
hasCounterexample
Indicates that there exists at least one specific case or instance that disproves or violates a given claim, rule, or general statement.
- 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_69ca835ad0608190b7c80b292da004f5 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcf8e41c4819091fa12742197e207 |
completed | April 2, 2026, 2:08 a.m. |
| PD | Predicate disambiguation | batch_69cd4b8d2280819089de27e57babd1f3 |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 8:56 p.m.