Triple

T7664787
Position Surface form Disambiguated ID Type / Status
Subject MIT 6.001 E173598 entity
Predicate influenced P9 FINISHED
Object MIT 6.001x E173598 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 6.001x | Statement: [MIT 6.001, influenced, MIT 6.001x]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MIT 6.001x
Context triple: [MIT 6.001, influenced, MIT 6.001x]
  • A. MIT 6.001 chosen
    MIT 6.001 was a foundational introductory computer science course at MIT that emphasized abstraction, recursion, and programming language design, famously taught using the Scheme language.
  • B. MITx 6.002x
    MITx 6.002x is an early and influential MIT online course in circuits and electronics that helped pioneer the modern massive open online course (MOOC) movement.
  • C. MITOC
    MITOC is the student-run outdoor recreation and adventure club affiliated with the Massachusetts Institute of Technology.
  • D. CS100
    CS100 is the original Bombardier CSeries narrow-body jet model that was later rebranded as the Airbus A220-100.
  • E. MIT Programming Methodology Group
    The MIT Programming Methodology Group is a research group at the Massachusetts Institute of Technology focused on advancing formal methods, programming languages, and systematic approaches to software design and verification.
  • 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.