Triple

T338533
Position Surface form Disambiguated ID Type / Status
Subject PuTTY E6781 entity
Predicate hasComponent P35 FINISHED
Object PuTTYtel E6781 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: PuTTYtel | Statement: [PuTTY, hasComponent, PuTTYtel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PuTTYtel
Context triple: [PuTTY, hasComponent, PuTTYtel]
  • A. Telnet
    Telnet is a network protocol and command-line tool that allows users to remotely access and manage devices over a text-based terminal connection.
  • B. PuTTY chosen
    PuTTY is a widely used free and open-source terminal emulator and network client for Windows and other platforms, supporting protocols like SSH, Telnet, and serial connections.
  • C. TeamViewer
    TeamViewer is a German software company best known for its remote access and remote control solutions that allow users to connect to and manage devices over the internet.
  • D. Tymshare
    Tymshare was an influential American time-sharing and computer services company active in the 1960s–1980s that helped pioneer remote computing and software services for businesses.
  • E. TUN
    TUN is the three-letter ISO 3166-1 alpha-3 country code assigned to Tunisia.
  • 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_69a2e79434908190a9d5afe415153ad9 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eae3a27c81909fc7deb600125fb1 completed Feb. 28, 2026, 1:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3d4e56b448190aac66218417e95b8 completed March 1, 2026, 5:55 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.