Triple

T17016470
Position Surface form Disambiguated ID Type / Status
Subject MITOC E412833 entity
Predicate acronym P43 FINISHED
Object MITOC E412833 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: MITOC | Statement: [MITOC, acronym, MITOC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MITOC
Context triple: [MITOC, acronym, MITOC]
  • A. MITOC chosen
    MITOC is the student-run outdoor recreation and adventure club affiliated with the Massachusetts Institute of Technology.
  • B. MIT OpenCourseWare
    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.
  • C. MIT 6.001
    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.
  • D. 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.
  • E. OCW
    OCW is the commonly used abbreviation for the Dutch Ministry of Education, Culture and Science.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d47fec248190bf261cac920291b1 completed April 18, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b4ba2a88190a49d355836ff1dcf completed May 10, 2026, 11:56 p.m.
Created at: April 10, 2026, 5:33 a.m.