Triple

T8993217
Position Surface form Disambiguated ID Type / Status
Subject OS/VS2 E214838 entity
Predicate supports P516 FINISHED
Object TSO E39548 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: TSO | Statement: [OS/VS2, supports, TSO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TSO
Context triple: [OS/VS2, supports, TSO]
  • A. TSO
    TSO is a major Canadian symphony orchestra based in Toronto, renowned for its performances of classical and contemporary orchestral music.
  • B. TSO
    TSO (The Stationery Office) is a major UK publishing and information services company known for producing and distributing official government and public sector documents.
  • C. tso
    tso is the ISO 639-2 three-letter code for the Tsonga language, a Bantu language spoken primarily in southern Africa.
  • D. TOS/360 chosen
    TOS/360 was an early tape-based operating system developed by IBM for its System/360 mainframe computers, providing basic job control and batch processing capabilities.
  • E. TOS
    TOS is an abbreviation that most commonly refers to "Terms of Service," the rules and conditions governing the use of a service or platform.
  • 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_69ca83a05c608190bdfdbdb25e994b39 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6876583081909d936dc3c3152587 completed April 1, 2026, 12:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0cd2b948190947a26fe11ad81bf completed April 3, 2026, 2:38 p.m.
Created at: March 30, 2026, 7:04 p.m.