Triple
T11801149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RFC 1869 |
E280627
|
entity |
| Predicate | protocol |
P1992
|
FINISHED |
| Object | SMTP |
E5622
|
NE 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: SMTP | Statement: [RFC 1869, protocol, SMTP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SMTP Context triple: [RFC 1869, protocol, SMTP]
-
A.
SMTP
chosen
SMTP (Simple Mail Transfer Protocol) is a standard communication protocol used for sending and routing email messages across IP networks.
-
B.
Mailer
Mailer is a surname most notably associated with American novelist, journalist, and essayist Norman Mailer.
-
C.
Mailer
Mailer is Symfony’s email-sending component that provides a flexible, secure, and extensible way to create and deliver emails in PHP applications.
-
D.
MAIL
MAIL is the stock ticker symbol for Mail.ru Group, a major Russian internet and online services company.
-
E.
MessageLabs
MessageLabs was a pioneering cloud-based email and web security services provider known for its anti-spam and anti-virus solutions for businesses.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5a4512c8190b7782e1dee053000 |
completed | April 10, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f13129fa608190b080dc27f8bd7803 |
completed | April 28, 2026, 10:14 p.m. |
Created at: April 8, 2026, 9:42 p.m.