Triple

T18158193
Position Surface form Disambiguated ID Type / Status
Subject SHA-2 E434687 entity
Predicate usedIn P98 FINISHED
Object SSL 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: SSL | Statement: [SHA-2, usedIn, SSL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SSL
Context triple: [SHA-2, usedIn, SSL]
  • A. SSL chosen
    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.
  • B. SSL
    SSL is a satellite manufacturing company known for building commercial communications and Earth observation spacecraft.
  • C. SSL/TLS
    SSL/TLS is a widely used cryptographic protocol suite that provides secure, encrypted communication over computer networks, most notably for web traffic.
  • D. TLS
    TLS is the IATA airport code for Toulouse-Blagnac Airport, the main international airport serving Toulouse in southwestern France.
  • E. TLS
    TLS (Transport Layer Security) is a cryptographic protocol that secures data transmitted over networks by providing encryption, authentication, and integrity between communicating applications.
  • 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_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dec02d9c81909ac6203b7d59c405 completed April 19, 2026, 1:55 p.m.
Created at: April 10, 2026, 10:30 a.m.