Triple

T8570609
Position Surface form Disambiguated ID Type / Status
Subject S-100 bus computers E202915 entity
Predicate commonOS P1593 FINISHED
Object MP/M E713571 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: MP/M | Statement: [S-100 bus computers, commonOS, MP/M]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MP/M
Context triple: [S-100 bus computers, commonOS, MP/M]
  • A. MP/M chosen
    MP/M is a multi-user, multitasking operating system developed by Gary Kildall as an advanced, multi-terminal extension of CP/M for microcomputers.
  • B. MP/M operating system
    MP/M operating system is a multi-user, multitasking variant of CP/M designed for microcomputers, created by computer scientist and software pioneer Gary Kildall.
  • C. MP
    MP is the reporting mark for the Missouri Pacific Railroad, a major former U.S. Class I railroad that operated across the Midwest and Southwest.
  • D. MP
    MP is the two-letter ISO 3166-1 alpha-2 country code assigned to the Northern Mariana Islands.
  • E. MP
    MP is the vehicle registration code for the Indian state of Madhya Pradesh.
  • 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_69ca8327b0a881908606ff860713964d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc457ab8b08190a53c730417288deb completed March 31, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce8983bd3c819094457b5160bc928d completed April 2, 2026, 3:21 p.m.
Created at: March 30, 2026, 6:21 p.m.