Triple
T3426577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CalDAV |
E72241
|
entity |
| Predicate | securityProtocol |
P1215
|
FINISHED |
| Object | TLS |
E1268
|
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: TLS | Statement: [CalDAV, securityProtocol, TLS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TLS Context triple: [CalDAV, securityProtocol, TLS]
-
A.
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.
-
B.
SSL
SSL (Secure Sockets Layer) is a cryptographic protocol designed to provide secure, encrypted communication over a computer network, commonly used to protect data transmitted between clients and servers.
-
C.
HTTPS
HTTPS is the secure version of the HTTP protocol that encrypts data exchanged between a client and server to protect confidentiality and integrity on the web.
-
D.
DTLS
DTLS (Datagram Transport Layer Security) is a protocol that provides TLS-like encryption, integrity, and authentication for datagram-based communications such as UDP.
-
E.
LE Secure Connections
LE Secure Connections is an enhanced Bluetooth Low Energy security feature that provides stronger encryption and protection against eavesdropping and man-in-the-middle attacks during device pairing and data exchange.
- 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_69ad85ae14308190bcbc25cfa0246c0b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb982792c8190b1163eee4252210f |
completed | March 8, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b354766bcc81909fb3124262c93f8f |
completed | March 13, 2026, 12:04 a.m. |
Created at: March 8, 2026, 3:15 p.m.