Triple
T22027318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RFC 6347 |
E544000
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | Transport Layer Security |
—
|
NE NERFINISHED |
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: Transport Layer Security | Statement: [RFC 6347, basedOn, Transport Layer Security]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Transport Layer Security Context triple: [RFC 6347, basedOn, Transport Layer Security]
-
A.
SSL/TLS
SSL/TLS is a widely used cryptographic protocol suite that provides secure, encrypted communication over computer networks, most notably for web traffic.
-
B.
TLS
TLS is the ISO 3166-1 alpha-3 country code for Timor-Leste (East Timor), a Southeast Asian nation on the eastern half of Timor Island.
-
C.
TLS
TLS is the Australian Securities Exchange (ASX) stock ticker for Telstra, Australia's largest telecommunications and media company.
-
D.
TLS
chosen
TLS (Transport Layer Security) is a cryptographic protocol that secures data transmitted over networks by providing encryption, authentication, and integrity between communicating applications.
-
E.
TLS
TLS is the IATA airport code for Toulouse-Blagnac Airport, the main international airport serving Toulouse in southwestern France.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e2e8ea4819084210fe06d3a1b8d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127ccc2ec8190a94d69530d00c06c |
completed | April 28, 2026, 9:34 p.m. |
Created at: April 16, 2026, 8:24 p.m.