Triple
T21930458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Master of Applied Science |
E541552
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | MASc |
—
|
NE NERFINISHED |
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: MASc | Statement: [Master of Applied Science, hasAbbreviation, MASc]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MASc Context triple: [Master of Applied Science, hasAbbreviation, MASc]
-
A.
Master of Applied Science
chosen
The Master of Applied Science is a research-focused graduate degree that emphasizes advanced study and thesis-based investigation in applied scientific and engineering fields.
-
B.
M.S.C.
M.S.C. is the post-nominal abbreviation used by members of the Catholic religious congregation known as the Missionaries of the Sacred Heart.
-
C.
Master of Science
The Master of Science is a graduate-level academic degree focused on advanced study and research in scientific and technical disciplines.
-
D.
Mtech
Mtech is a technology entrepreneurship and innovation institute at the University of Maryland that supports startups, education, and economic development.
-
E.
Science Masters
Science Masters is a popular science book series that presents complex scientific ideas in accessible, engaging language for general readers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c47d74488190a15119108794a307 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f123ff16148190843d92bbc1e9bb24 |
completed | April 28, 2026, 9:17 p.m. |
Created at: April 16, 2026, 7:47 p.m.