Triple

T1793381
Position Surface form Disambiguated ID Type / Status
Subject OS/360 E39547 entity
Predicate successor P78 FINISHED
Object OS/VS2 E171250 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: OS/VS2 | Statement: [OS/360, successor, OS/VS2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OS/VS2
Context triple: [OS/360, successor, OS/VS2]
  • A. OS/2 chosen
    OS/2 is a 32-bit multitasking operating system originally developed by IBM and Microsoft as a successor to MS-DOS, known for its stability and use in business environments in the late 1980s and 1990s.
  • B. OS
    OS is the vehicle registration code for the German city of Osnabrück and its surrounding district.
  • C. VS
    VS is the two-letter abbreviation commonly used for the Swiss canton of Valais.
  • D. OSSE
    OSSE is the District of Columbia’s state education agency responsible for overseeing public education policies, programs, and accountability across the city.
  • E. VMS
    VMS is a regional public transport association in the Chemnitz area of Germany that coordinates and manages integrated fares and services across multiple transit operators.
  • 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_69a88631854081909723959921e45c2b completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa653c4c148190bfe6ac017ecbf695 completed March 6, 2026, 5:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5d26afc81909675064289d3a5b8 completed March 8, 2026, 5:45 p.m.
Created at: March 4, 2026, 7:32 p.m.