Triple
T14184954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OCW |
E351551
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | OCW |
E351551
|
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: OCW | Statement: [OCW, shortName, OCW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OCW Context triple: [OCW, shortName, OCW]
-
A.
OCW
chosen
OCW is the commonly used abbreviation for the Dutch Ministry of Education, Culture and Science.
-
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.
OER
OER (Octet Encoding Rules) is a set of ASN.1 encoding rules that represent data in a compact, efficient binary octet-based format optimized for constrained environments and high-performance communication.
-
D.
OpenLearning
OpenLearning is an online education platform that hosts and delivers massive open online courses (MOOCs) from institutions and educators worldwide.
-
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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61cd5778819092a03597bcdcc182 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd19413bd08190930767abc2c588d4 |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 1:03 a.m.