Triple

T7664808
Position Surface form Disambiguated ID Type / Status
Subject MIT 6.001 E173598 entity
Predicate associatedWith P37 FINISHED
Object MIT OpenCourseWare E22 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: MIT OpenCourseWare | Statement: [MIT 6.001, associatedWith, MIT OpenCourseWare]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MIT OpenCourseWare
Context triple: [MIT 6.001, associatedWith, MIT OpenCourseWare]
  • A. MIT OpenCourseWare chosen
    MIT OpenCourseWare is a free, web-based publication of virtually all Massachusetts Institute of Technology course content, offering open access to lecture notes, exams, and other educational materials to learners worldwide.
  • B. OCW
    OCW is the commonly used abbreviation for the Dutch Ministry of Education, Culture and Science.
  • C. MITOC
    MITOC is the student-run outdoor recreation and adventure club affiliated with the Massachusetts Institute of Technology.
  • D. Coursera
    Coursera is a major online learning platform that partners with universities and organizations worldwide to offer courses, professional certificates, and degree programs across a wide range of subjects.
  • E. edX
    edX is a leading online learning platform founded by MIT and Harvard that offers university-level courses, professional certificates, and degree programs to learners worldwide.
  • 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_69c699562484819086752091e3164a27 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701bfb67c81908b416802eaf0faac completed March 27, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89b1fdccc8190a69b4745dc3b2347 completed March 29, 2026, 3:23 a.m.
Created at: March 27, 2026, 4 p.m.