Triple
T13183619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Master of Arts in Learning, Design, and Technology |
E313788
|
entity |
| Predicate | isOfferedInFormat |
P102437
|
FINISHED |
| Object | on-campus |
—
|
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: on-campus | Statement: [Master of Arts in Learning, Design, and Technology, isOfferedInFormat, on-campus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOfferedInFormat Context triple: [Master of Arts in Learning, Design, and Technology, isOfferedInFormat, on-campus]
-
A.
offeredIn
Indicates that something is made available or provided within a particular context, setting, or medium.
-
B.
isOfferedThrough
Indicates that something (such as a service, course, or product) is made available or provided via a particular channel, platform, or intermediary.
-
C.
presentedInFormat
chosen
Indicates that something is expressed, delivered, or made available using a particular format or representation.
-
D.
operatesInFormat
Indicates that an entity functions, performs its role, or is carried out using a specified format.
-
E.
offersProgramFormat
Indicates that an entity provides or makes available a specific type or format of program.
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf054f88190b05ced98d5a22a62 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bc2c0c88190be357811aa8e828d |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:15 p.m.