Triple

T21727027
Position Surface form Disambiguated ID Type / Status
Subject PDP-10 E536299 entity
Predicate operatingSystem P1593 FINISHED
Object SITS NE NERFINISHED

How this triple was built (3 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: SITS | Statement: [PDP-10, operatingSystem, SITS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SITS
Context triple: [PDP-10, operatingSystem, SITS]
  • A. SIT
    SIT was the ISO 4217 currency code for the Slovenian tolar, the former national currency of Slovenia before adoption of the euro.
  • B. SIT
    SIT is the Fraunhofer Institute for Secure Information Technology, a leading German research institution focused on cybersecurity and privacy technologies.
  • C. SIT
    SIT is the National Rail station code for Sittingbourne railway station in Kent, England.
  • D. SIS
    SIS is the CERN Scientific Information Service, responsible for managing and providing access to the organization’s scientific publications, data, and library resources.
  • E. SIS
    SIS is the commonly used abbreviation for the United Kingdom’s Secret Intelligence Service, the foreign intelligence agency often referred to as MI6.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SITS
Target entity description: SITS is an operating system developed for the PDP-10 mainframe computer, used primarily in academic and research computing environments.
  • A. SIT
    SIT is the National Rail station code for Sittingbourne railway station in Kent, England.
  • B. SIT
    SIT was the ISO 4217 currency code for the Slovenian tolar, the former national currency of Slovenia before adoption of the euro.
  • C. SIT
    SIT is the Fraunhofer Institute for Secure Information Technology, a leading German research institution focused on cybersecurity and privacy technologies.
  • D. SIS
    SIS is the CERN Scientific Information Service, responsible for managing and providing access to the organization’s scientific publications, data, and library resources.
  • E. SIS
    SIS is the commonly used abbreviation for the United Kingdom’s Secret Intelligence Service, the foreign intelligence agency often referred to as MI6.
  • F. None of above. chosen

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_69e0c46d3284819099a4f9d5a704eb95 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efd973ac648190bb09e20ac1be2d9b completed April 27, 2026, 9:47 p.m.
Created at: April 16, 2026, 6:48 p.m.