Triple

T4979781
Position Surface form Disambiguated ID Type / Status
Subject RFC 7465 E111854 entity
Predicate prohibitsUseIn P30858 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: [RFC 7465, prohibitsUseIn, TLS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TLS
Context triple: [RFC 7465, prohibitsUseIn, 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. TLS
    TLS is the IATA airport code for Toulouse-Blagnac Airport, the main international airport serving Toulouse in southwestern France.
  • C. 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.
  • D. 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.
  • E. TLS 1.2
    TLS 1.2 is a widely deployed version of the Transport Layer Security protocol that provides encrypted and authenticated communication over computer networks.
  • 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_69bd441adc208190b70a033a0741d01e completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd77c9fc7c8190b165a5cfd5889ba8 completed March 20, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69be924befc08190a077adca99fb4b86 completed March 21, 2026, 12:42 p.m.
Created at: March 20, 2026, 1:33 p.m.