Triple
T1085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MIT OpenCourseWare |
E22
|
entity |
| Predicate | slogan |
P42
|
FINISHED |
| Object | Unlocking knowledge, empowering minds |
—
|
LITERAL 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: Unlocking knowledge, empowering minds | Statement: [MIT OpenCourseWare, slogan, Unlocking knowledge, empowering minds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: slogan Context triple: [MIT OpenCourseWare, slogan, Unlocking knowledge, empowering minds]
-
A.
motto
chosen
Indicates that one entity serves as the guiding phrase, slogan, or maxim associated with another entity.
-
B.
title
Indicates that one entity serves as the formal name or designation of another entity.
-
C.
symbolizes
Indicates that one entity stands for, represents, or is used as a sign for another entity, concept, or idea.
-
D.
abbreviation
Indicates that one term is a shortened or contracted form that stands for another, longer expression.
-
E.
proposes
Indicates that one entity formally suggests or puts forward an idea, plan, or course of action to another entity for consideration or approval.
- F. None of above.
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_69a22a285828819081a58308fb963df1 |
completed | Feb. 27, 2026, 11:35 p.m. |
| NER | Named-entity recognition | batch_69a23211f05c8190b8deb03a8540d84d |
completed | Feb. 28, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69a230c2c48481908beb1db3cc9768aa |
completed | Feb. 28, 2026, 12:03 a.m. |
Created at: Feb. 27, 2026, 11:36 p.m.